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Job DescriptionPrincipal AI Memory Systems Architect Job Title: Principal AI Memory Systems Architect Location: San Jose, CA or Irvine, CA Compensation: $250K - $300K base plus equity Requirements: AI Systems Architecture, Memory Hierarchy, CXL, HBM, AI Inference, Computer Architecture, Memory Disaggregation, Processing-in-Memory (PIM), GPU / Accelerator Architecture, ASIC/SoC Architecture Company Brief We are a leading provider of high-performance modular memory subsystems and next-generation storage-class memory solutions. We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and enterprise infrastructure. Our product portfolio includes DDR4/DDR5 DIMMs, NAND-based SSDs, and advanced interconnect technologies such as CXL and PCIe. Role This is a senior architecture role for someone who understands how AI workloads translate into memory, bandwidth, latency, compute, interconnect, power, and system-level requirements. The role partners closely with the Chief AI Systems Architect, AI Product Strategist, AI Software Architect, and R&D teams to develop next-generation AI hardware and memory architectures. We are particularly interested in investigating opportunities involving: • AI memory hierarchy evolution for larger models and context windows, • HBM, DDR, CXL, storage, and memory-tiering strategies, • Near-memory and processing-in-memory architectures, • Reducing data movement, power consumption, and system cost, • Expanding effective memory capacity and utilization, • New hardware architectures that outperform current AI systems Key Responsibilities • Architect AI systems, memory subsystems, and accelerator platforms, • Translate AI workload requirements into memory, compute, bandwidth, and latency specifications, • Design solutions leveraging HBM, DDR, CXL, memory pooling, disaggregation, caching, and persistent memory, • Analyze architectural tradeoffs across performance, power, capacity, area, and cost, • Characterize AI workloads including LLM inference, RAG, agentic AI, long-context inference, and KV-cache management, • Evaluate emerging technologies such as CXL memory expansion, memory compression, and near-memory computing, • Partner with software teams to optimize runtime, memory management, scheduling, and workload orchestration, • Build architectural models, simulations, benchmarks, and proof-of-concept prototypes, • Define product architectures, technical roadmaps, and system specifications, • Conduct technical due diligence on startups, technologies, IP, and M&A opportunities Required Qualifications • BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related field (PhD preferred), • 10+ years in computer architecture, memory systems, semiconductor design, AI hardware, or related fields, • Deep expertise in memory hierarchy and computer architecture, • Experience with HBM, DDR, CXL, PCIe, UCIe, high-speed interconnects, and/or AI accelerators, • Strong understanding of AI/ML workloads and architectural tradeoffs, • Demonstrated experience developing complex semiconductor or computing systems, • Proven ability to translate system requirements into hardware architectures and specifications Preferred Experience • LLM inference and transformer architectures, • KV-cache systems and AI inference runtimes (e.g., vLLM), • CUDA/GPU architectures, • CXL 2.x/3.x, memory pooling, and memory disaggregation, • Processing-in-memory and near-memory computing, • AI networking and storage-class memory, • ASIC/SoC architecture, RTL, and microarchitecture, • Hardware/software co-design and architectural modeling, • Edge AI systems #Enghp Benefits • Vacation/PTO, • Medical, • Dental, • Vision, • Equity, • 401k w/ match, • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 10/16/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies. Key Responsibilities • Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelines., • Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes., • Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking., • Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams., • Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria., • Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively., • Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards., • Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure.Academic Qualifications, • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required, • Master’s degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred.Professional Experience - Required, • Extensive experience in data engineering, data processing, and automation using Python., • Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelines., • Strong understanding of data structures, algorithms, databases, SQL, and performance optimization., • Experience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes)., • Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challenges., • Strong communication and collaboration skills with cross-functional teams.Professional Experience - Preferred, • Proven track record of supporting NLP or AI research teams with rapid and reliable data delivery., • Experience working with large language models, including evaluation, efficient inference, and prompt engineering., • Experience with refining outputs from large-scale AI models, such as LLM-generated data., • Contributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow)., • Familiarity with the latest advancements in NLP data processing and large language model technologies. Salary Range The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Benefits Include Comprehensive medical, dental, and vision benefits Bonus 401K Plan Generous paid time off, sick leave and holidays Paid Parental Leave Employee Assistance Program *Life insurance and disability We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. The Team The Automated Driving Advance Development division at TRI focuses on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. The Automated Driving Advance Development team is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM). The Opportunity We are looking for a Senior Machine Learning Researcher to join us in developing a state-of-the-art, pixels-to-action, end-to-end system for automated driving. As an expert in machine learning, you will contribute to designing and developing innovative models for our autonomy stack and deploying them on vehicle platforms to solve daily driving tasks and handle long-tail scenarios. An ideal candidate has a strong track record of leading independent research efforts, preferably including mentoring and collaborating with less experienced students and researchers. You will help to drive our exploration into end-to-end learning approaches for automated driving, using large-scale sensor data directly for perception, planning, and prediction to overcome traditional "information bottlenecks." This includes expanding our successful Large Behavior Model (LBM) robotics efforts and Diffusion Policy (DP) research into the driving domain, designing scalable architectures, and integrating visual-language-action modalities. Beyond refining models for closed-loop driving on public roads and in simulation, you will also explore data quality filtering, transfer learning from diverse data sources, and edge deployment optimization. This work is part of Toyota’s global AI efforts to build a more coordinated global approach across Toyota entities. Responsibilities • Conduct ambitious research to advance the state-of-the-art in using new capabilities in generative AI (e.g., recent results in diffusion policy [1],[2]) for end-to-end perception, planning, and prediction in automated driving with a focus on computer vision as the primary sensing modality., • Research and implement scalable end-to-end architectures that process raw sensor data to generate vehicle trajectories, addressing the challenges of long-tail driving scenarios with low data coverage., • Prototype, validate, and iterate model architectures using imitation learning and large-scale data, ensuring robust performance across diverse scenarios., • Perform closed-loop evaluations in sensor simulations and real-world testing environments to rigorously assess model performance, stability, and scalability., • Explore multi-modal and language-conditioned models to broaden the applicability of end-to-end policies, using external data sources and transfer learning to enhance generalization., • Collaborate with researchers and engineers across TRI, Woven by Toyota, and Toyota’s global ecosystem to accelerate model deployment and evaluation in both controlled environments (closed-course) and public road driving., • Take the lead on writing and publishing research results in peer-reviewed venues.Qualifications, • A PhD or equivalent experience in a robotics-relevant or embodied-AI field such as Computer Science, Mathematics, Physics, or Engineering., • A consistent track record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.), • A consistent track record of independent research., • Demonstrated ability to independently formulate and complete a research agenda while collaborating across subject areas., • Experience training large-scale models, including foundation models (e.g., vision-language models, text-to-video models)., • Proficiency in Python and C++ for implementing and evaluating research ideas.Bonus Qualifications, • Experience with robot motion planning techniques like trajectory optimization, sampling-based planning, and model predictive control, or experience with automated driving domains (e.g., perception, prediction, mapping, localization, planning, simulation)., • Experience in developing production-level code for real-time operating systems., • Experience optimizing runtime-critical systems for Linux, UNIX-like real-time operating systems on automotive-grade compute platforms, and building safety-critical software architectures.Please add a link to Google Scholar and include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $200,000 and $287,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are looking for an engineering leader with a strong background in medical imaging, AI, and programming languages such as C++ and CUDA to shape our new ultrasound imaging platform. As the Software Manager for the Imaging and AI team, you will lead a team developing and optimizing algorithms and techniques related to ultrasound signal processing, image formation, and analysis. The primary focus of this role is to improve the quality, accuracy, and interpretation of ultrasound images for DeepSight's revolutionary Ultrasound system. As a Software Manager for Imaging and AI, your responsibilities are: • Team Management and Mentorship: Manage a team of individual contributors and cultivate a high-performing team, • Strategic Planning: Work closely with product and project management teams to define software deliverables, set timelines, and prioritize tasks in alignment with the company's goals for the ultrasound imaging platform., • Technical Implementation: Maintain hands-on involvement by reviewing and contributing to the implementation of critical algorithms using C++ and CUDA, serving as a technical resource and problem solver for the team., • Guide Advanced Algorithm Development: Oversee the research and development of advanced algorithms and image processing techniques to enhance spatial resolution and image quality in ultrasound imaging, providing technical mentorship to team members., • Foster AI and Machine Learning Integration: Champion the exploration and implementation of machine learning and AI techniques to enhance image analysis, automate diagnostic workflows, and assist clinicians with interpretation tasks., • Facilitate Systems Integration: Collaborate with systems and hardware engineers to ensure seamless integration of software and hardware components for optimized data acquisition, processing, and display., • Ensure Compliance and Quality Standards: Ensure the team adheres to relevant regulatory and quality standards (e.g., ISO 13485, IEC 62304), integrating robust verification and validation practices into the development lifecycle. Required Qualifications: • BS in an engineering or computer science field, • Familiarity in signal and image processing and algorithm development in medical imaging, • Strong background in object-oriented programming, software architecture, and design patterns, • Proficiency with C++ programming, • Experience in concurrent/parallel programming-multithreading, multiprocessing, GPU acceleration (CUDA, CuPy, Numba, OpenCL), • Deep familiarity with common developer tool sets, including source control, continuous integration, and automated unit testing, • Proven ability to lead and manage technical teams in designing, implementing, and optimizing algorithms for imaging applications., • Adept at collaborating with cross-functional teams, including hardware, systems, and clinical stakeholders., • Passionate about medical devices, with excellent communication and teamwork skills Preferred Qualifications: • PhD in Electrical/Biomedical engineering with a dissertation topic related to medical imaging, • Knowledge of ultrasound physics, beamforming, simulation and algorithm development, • 8 or more years of experience in commercial software development, • Experience in medical imaging product development (FDA regulated), • Experience with real-time software applications, • Experience interfacing with hardware components and systems, • Familiarity with healthcare standards, including DICOM, HL7, and integration with PACS systems, • Knowledge of AI/ML techniques applied to medical imaging, including model training, validation, and deployment in clinical workflows Other Qualities We Are Looking For • Positive - a can-do attitude that helps you rise to challenges, • Collaborative - a team player who can effectively communicate with others, • Attentive to detail - nothing gets by you, • Efficient - a knack for effectively prioritizing tasks and managing your time, • Pride in your work - real desire to do quality work, • Career-minded - looking for more than a job, • Empathy - a mindset of producing quality products that help people Benefits and Perks • We offer great benefits and perks:, • Competitive salary, • Stock options, • Medical, dental, and vision insurance, • 401(k) retirement plan Job Posted by ApplicantPro

Job Description Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV) company. Its business footprint now spans more than 60 cities across 13 countries. Powered by the intelligent, versatile, and highly adaptable WeRide One platform, the company provides autonomous driving products and services ranging from Level 2 to Level 4, addressing mobility, logistics, and urban services. WeRide.ai is looking for a Software Engineer to build powerful and efficient world-leading cloud infra platforms for autonomous driving, inlcuding PaaS platforms, such as Big Data, AI, Simulation, and IaaS platforms, such as K8s, storage services. What you will do: • Architect and develop scalable and reliable PaaS and IaaS platforms to serve the whole company to meet our growing business needs., • Architect and develop high performance and scalable distributed system for large scale data storage, data processing, distributed deep learning, simulation., • Discover and resolve performance bottlenecks to improve the efficiency of platform continuously., • Build profiling tools to allow engineers to efficiently identify system bottlenecks., • Build monitoring and introspection tools to allow engineers to quickly introspect a system.Requirements:, • BS, MS, PhD in Computer Science / Engineering, Statistics or other equivalent fields, • 3+ year experience of developing scalable, distributed, compute-intensive services and ETLs on AWS or other cloud platforms., • 3+ year experience of cloud-native software architect and development, • Proficiency in C++, Python, Go, Scala, or Java., • Familiar with Kubernetes, Linux, Docker, LXC, Micro services. Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $143,000 - $197,437.50 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. WeRide.ai offers competitive salary depending on the experience. Employee benefits include: Premium Medical, Dental and Vision Plan (No cost from employees or their families) Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays 401K plan We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. Samsung Semiconductor is seeking an industry-leading SSD Storage and System Architect with recognized technical influence to design and define our next-generation Enterprise, Datacenter (DC), and AI-optimized storage architectures. As AI/ML workloads explode, storage has become the primary bottleneck for data ingestion, checkpointing, and GPU utilization. This role focuses on the end-to-end design of high-performance storage systems, optimization of flash translation layers (FTL), and hardware-software co-design engineered specifically to accelerate AI training and inference. You will leverage your deep domain expertise to align system architecture with major hyperscale cloud vendor AI clusters while directly bridging the gap with Samsung's internal R&D teams to maximize the competitive edge, silicon efficiency, and performance synergy of Samsung's cutting-edge memory, CXL, and controller solutions. Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy with 10% of domestic travel. Reports to: Principal Engineer, R&D Product Development Planning What You'll Do • AI-Optimized Architecture Design: Define and model enterprise/DC SSD architectures optimized for massive parallel read paths required by AI data loaders (e.g., PyTorch, TensorFlow) and high-burst write paths for AI model checkpointing., • Samsung Product Integration: Translate complex hardware, CXL, and controller constraints into optimized firmware architectures for Samsung's enterprise SSD controller, FTL, and NAND flash subsystems., • Cloud Infrastructure Alignment: Architect features tailored for hyperscaler AI infrastructure, matching specifications like Microsoft's Azure AI Cloud storage architectures and Meta's next-generation GPU-accelerated storage platforms., • HW/FW Co-Design: Collaborate closely with ASIC design, firmware development, and validation teams to resolve cross-domain architectural bottlenecks in ultra-low latency environments., • Technology Prototyping: Develop architectural simulators or FPGA prototypes to evaluate next-generation storage features, AI caching algorithms, and host-managed storage paradigms., • Industry Influence & Innovation: Leverage an established technical network to align emerging system architectures with broader storage industry trends, open-source AI ecosystems, and storage standards (NVMe, OCP, SNIA)., • Strategic IP Creation: Drive the creation of foundational architectural patents in the domains of AI storage optimization and near-data processing to protect Samsung's system-level intellectual property., • Hyperscale AI Engagement: Jointly architect next-generation AI datacenter deployment models (e.g., custom pooling, disaggregated storage, GPUDirect Storage [GDS] integrations, and Ethernet-attached SSDs) directly with lead architects from AWS, Google Cloud, Microsoft, and Meta., • Advanced Feature Pioneering: Lead the architectural definition of advanced storage paradigms such as FDP (Flexible Data Placement), ZNS (Zoned Namespaces), and computational storage specifically tailored to offload AI data-preprocessing tasks. What You Bring • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field with 10+ years experience, or a Master's degree with 8+ years experience, or a PhD with 5+ years experience., • Minimum of 10+ years of direct experience in storage system architecture, including foundational hands-on experience with legacy HDD system architecture and caching algorithms alongside modern NAND flash, SSD architecture, and AI/ML data pipeline storage., • Industry Influence: Verified track record of architectural leadership, technical contributions to open-source storage/AI projects, or technical influence within the broader storage ecosystem., • Hyperscaler & AI Infrastructure Familiarity: Proven experience architecting or deploying storage systems that satisfy OCP Datacenter NVMe SSD Specifications and scale seamlessly within high-performance computing (HPC) or GPU-accelerated hyperscale datacenter environments., • Protocol & Domain Mastery: Deep technical knowledge of PCIe/NVMe protocols, specialized enterprise features like GPUDirect Storage (GDS), FDP, ZNS, SSD controller internal architectures, and enterprise interfaces (NVMe-oF, CXL, SAS/SATA/SCSI)., • Samsung Portfolio Synergy: Ability to quickly master and leverage Samsung's proprietary controller capabilities, vertical NAND (V-NAND) characteristics, CXL innovations, and DRAM caching to maximize architectural efficiency for AI workloads., • Communication Skills: Exceptional written and verbal English communication skills, with a proven ability to pitch complex architectural designs, author technical specs, and build consensus across multi-disciplinary global teams. Key Competencies • System-Level Architecture Thinking: Ability to evaluate storage as part of the complete system architecture, considering compute, memory, interconnect, networking, local storage, and shared storage together., • Workload-to-Requirement Translation: Ability to translate real application and AI workload behavior into clear storage architecture and SSD product requirements., • Performance & Bottleneck Analysis: Ability to identify end-to-end system bottlenecks and determine whether performance limitations originate from compute, memory, PCIe fabric, software stack, or storage., • Storage Hierarchy Design: Ability to define optimal data placement and tiering across memory, cache, local NVMe, shared storage, and capacity tiers based on workload characteristics., • Architecture Trade-off Management: Ability to balance performance, latency, capacity, endurance, power, thermal, reliability, scalability, and cost at the system level., • Future Architecture Development: Ability to identify emerging storage architecture needs and propose new system and SSD concepts for next-generation AI and data center workloads., • Cross-Layer Problem Solving: Ability to analyze complex issues across application, system software, platform hardware, and storage boundaries and drive architectural solutions rather than point fixes., • Technical Leadership & Decision Making: Ability to establish architectural direction, challenge assumptions, evaluate alternatives, and drive technical decisions across engineering and product teams. #LI-MD1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, caregiver support, and medical travel support. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $163,000—$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. What You'll Do Samsung Semiconductor is seeking a Technical Account Manager, DRAM Business Enablement. Be a motivated self-starter to manage the customer selection of Samsung for DRAM-based memory solutions being used in a breadth of applications. You will be focused on successful engineering engagement to drive the lead supplier position for design-in and qualification, from technical program management to customer relationship management to engineering debugging in a collaborative environment. You will interact with multiple internal stakeholders to maintain alignment with customer objectives and foster deeper engagement and relationships. • Support Datacenter, PC & consumer DRAM products to customers and enable various DRAM products: DDR based memory DIMMs, discrete LPDDR and DDR DRAM components, and HBM (High Bandwidth Memory)., • Understand customer requirements for DRAM product design-in and work with Samsung HQ in Korea to provide solutions and suggestions., • Support self-qualification activities including SI/PI and timing analysis., • Control and follow up on PCN (Product Change Notice), organize QTR (Quarterly Technical Review), and align technology roadmaps and market overviews., • Develop subject matter expertise needed to provide first-line technical or operational issue resolution as needed to drive to closure., • Synchronize with Samsung business teams to assure that the Samsung Technical strategy is fully aligned with our business strategy., • Manage critical relationships with key customer decision makers., • Demonstrate leadership through influencing, relationship building, customer focus, efficiency, excellent communication skills, and self-development., • Organize technical communication with customers to perform on-site problem solving and help establish verification procedures and conditions for issue duplication and improvement., • Facilitate seamless collaboration through the orchestration of internal and external forums to ensure synergistic problem-solving for mission-specific goals. Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. Job ID: 43021 What You Bring • Bachelor's in Electrical Engineering, Computer Science, or a related Engineering field with 10+ years experience with the corresponding industry experience or Master's degree with 8+ years or a PhD preferred with 5+ years., • Familiarity with DRAM memory design, architecture, or system architecture., • Background in Signal Integrity/Power Integrity (SI/PI) and timing measurements., • Understanding of semiconductor manufacturing, fab processes, and advanced package technology., • Familiarity with system-level operation including RAS, Memory Controller, and memory PHY., • Solid experience in supporting DRAM memory products., • Prior experience in semiconductor technology or the memory field with customer-facing responsibilities., • Prior experience as an Applications, Development, Design, or Validation Engineer, or a related technical role., • Customer support experience for DRAM products., • An avid learner who approaches challenges with curiosity and resilience, seeking data to build understanding., • Leadership skills for driving customer enablement strategies and debug activities., • Professional fluency in Korean and English is required to facilitate seamless technical communication and collaboration between customers and Samsung HQ in Korea., • Willingness and flexibility to travel domestically and internationally as needed. Candidates must be available for travel of varying frequency and duration based on project requirements., • Customer support experience for DRAM products, • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding., • Leadership skills for driving customer enablement strategies and debug activities., • Strong verbal and written communication skill. Fluency in Korean is a plus., • Some travel required, both international and domestic. Approximately 1-2 times per year, subject to customer needs. #LI-MD1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $163,000—$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/

Job Description:\n\n Please Note:\n To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. \n Advancing the World's Technology Together\n Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. \n We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.\n\n What You'll Do\nInference is becoming a memory-bandwidth business. As models scale past what any single GPU can hold — KV caches grow with context, MoE expert weights spill beyond HBM, and new architectures change the rules of what "model state" even means — the winners will be the companies that treat memory as the core product of AI inference, not an afterthought.\nWe are looking for a Hands-on Principal Engineer who combines deep, first-principles knowledge of AI model architectures (dense Transformers, Mixture-of-Experts, State Space Models, and hybrids) with production-scale inference expertise, to own the requirement for full-stack AI memory solutions at scale — spanning GPU HBM, host DRAM, CXL-attached memory pools, and NVMe/SSD tiers and Samsung Cognos, AI memory software that moves model state intelligently across them.\nThis person will be the technical authority who connects model behavior to memory-system design: someone who can explain why an MoE router's activation pattern dictates an LRU expert cache policy, why a Mamba state cache breaks the assumptions of PagedAttention, and why disaggregated prefill/decode changes the required memory bandwidth per token by an order of magnitude — and then build the products that exploit those facts.\nLevel: Principal Engineer Team: Memory Solutions Lab / Data Fabric SolutionsReports to: Chief Technologist, Memory Solutions Lab\nLocation: Daily onsite presence preferred at our San Jose office/headquarters in alignment with our Flexible Work policy; remote/hybrid option available. \nJob ID: 43027\nModel Architecture Expertise — The Foundation\n\n Serve as expert on how different model families consume and move memory, and translate that into memory-product requirements:\n \n Dense Transformers: MHA/MQA/GQA/MLA attention, KV-cache growth characteristics, long-context behaviors, attention sinks and prefix locality.\n Mixture-of-Experts: routed vs. shared experts, expert-parallel execution, routing skew and hot-expert locality, expert-weight offloading and cache-admission policies, per-token weight-read economics.\n State Space Models (Mamba/Mamba-2) and hybrid SSM-attention architectures: recurrent state vs. KV cache semantics, state size per sequence and per layer, cache-swapping behavior for context switching and batching, and what "cache-aware scheduling" means when the state is a fixed-size tensor instead of a token-indexed table.\n Emerging architectures: linear attention, sliding-window/hybrid layers, diffusion and multimodal transformers — and how each changes the memory hierarchy math.\n \n Model the memory footprint, bandwidth demand, and access patterns of frontier open-weight models (e.g., Llama/Qwen-class dense, DeepSeek/Kimi-class MoE, Jamba-class hybrids) and publish internal reference architectures for each.\n Track the model landscape as a roadmap input: anticipate what coming architectures (longer contexts, agentic multi-session reuse, reasoning-loop workloads, speculative decoding drafts) will demand from memory systems 12–24 months out.\n\nLarge-Scale Inference Expertise\n\n Own deep expertise in production inference stacks — SGLang (HiCache), vLLM (PagedAttention, LMCache integration), NVIDIA Dynamo, TensorRT-LLM, llama.cpp-class engines — including their memory-management internals, not just their flags.\n Drive inference performance engineering: continuous batching, chunked prefill, disaggregated prefill/decode, prefix and radix caching, speculative decoding, CUDA Graphs, and their interactions with memory tiering.\n Own the latency/throughput/cost envelope: TTFT and TBT/TPOT SLOs, tokens-per-second per dollar, GPU memory utilization as the binding constraint, and the tradeoff curves between cache hit rate, memory capacity, and bandwidth.\n Define benchmarking and characterization methodology: realistic agentic and long-context workloads (multi-turn reuse, session persistence, RAG prefixes), KV-cache reuse-rate measurement, and bandwidth-latency profiling across the full hierarchy (Nsight, PyTorch Profiler, vendor memory tools).\n\nFull-Stack AI Memory Solutions — The Core Mandate\n\n Define engineering requirements, with proof, for tiered memory systems for inference at fleet scale: HBM as L1, host DRAM (pinned, NUMA-aware pools) as L2, CXL-attached memory pools as an elastic tier, and NVMe/SSD as capacity tier — with the policies (admission, eviction, prefetch, placement) that make the hierarchy behave like one memory.\n Design expert-weight offloading solutions for MoE serving: host-resident expert pools, GPU-resident expert caches with bandwidth-adaptive fill/evict policies, and CPU/CXL-execution hybrid paths — informed by the routing statistics of real models.\n Translate model knowledge into product: write the requirements, reference architectures, and performance models that guide memory hardware and firmware roadmaps (HBM capacity/bandwidth, CXL device behavior, SSD QoS for cache tiers), and validate with end-to-end prototypes on real inference workloads.\n Develop and Deliver POCs: demos and published benchmarks showing inference TCO improvement from the memory stack — e.g., context capacity multiplied at constant GPU count, or cost-per-token reduced through cache-hit-rate gains — credible to both CTOs and PhD researchers.\n\nTechnical Leadership\n\n Set multi-year technical strategy for AI memory solutions; own build-vs-adopt-vs-contribute decisions across the open-source inference and caching ecosystem (vLLM, SGLang, LMCache, Cognos-style KV stores) and drive upstream contributions where strategic.\n Lead architecture reviews and deep-dive design sessions; write the documents that become the company's standard for how we talk about memory for AI.\n Represent the company with customers and partners at the deepest technical level: serve as the expert voice in CTO-to-CTO conversations, design wins, and standards discussions.\n Mentor senior engineers and grow a bench of architecture talent across the model-to-memory boundary.\n\n \nWhat You Bring\n\n BS in Computer/Electrical/Electronic Engineering or Computer Science, and 10+ years of relevant experience MS in Computer/Electrical/Electronic Engineering or Computer Science with 8 years of relevant experience preferred.\n 12+ years in systems engineering, with 4+ years hands-on in large-scale LLM inference or GPU systems performance — you have personally profiled, diagnosed, and fixed memory bottlenecks in production serving, not just read about them.\n First-principles understanding of transformer-class model internals: you can derive KV-cache size formulas from attention math, explain MQA/GQA/MLA tradeoffs, and reason about activation-memory peaks during prefill.\n Working expertise with MoE model behavior: routing, expert parallelism, load skew, and the weight-memory economics of serving models larger than GPU capacity.\n Direct experience with at least one major inference stack's memory-management internals (vLLM PagedAttention/block manager, SGLang HiCache/token pools, TensorRT-LLM KV manager, or llama.cpp compute buffers) — code-level, not configuration-level.\n Strong performance-engineering skills: bandwidth-bound vs. compute-bound analysis, NUMA and PCIe topology reasoning, RDMA basics, and fluency with GPU/CPU profilers.\n Track record of building systems software at the memory/storage/IO layer — caches, tiering, paging, or storage engines — with production deployments.\n Ability to write models and simulators, not just measure: analytical queueing, cache-hit-rate, and bandwidth models that predict system behavior before hardware exists.\n Excellent written and verbal communication, including executive-level technical narrative; comfort being the technical face of the company in front of customers.\n\nPreferred\n\n Experience with State Space Model or hybrid SSM-attention serving (Mamba-class state management, cache swapping for recurrent models) — rare and highly valued.\n Contributions to open-source inference/caching projects (vLLM, SGLang, LMCache, HiCache, Mooncake, KTransformers, llama.cpp).\n Experience with CXL memory pooling, CXL-attached tiering, or near-memory processing in real deployments or serious prototypes.\n Experience with SSD/NVMe as a KV or expert cache tier, including QoS engineering for inference-grade latency.\n Background in memory/storage product companies bringing hardware-software co-designed solutions to market.\n You're inclusive, adapting your style to the situation and diverse global norms of our people. \n An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. \n You're collaborative, building relationships, humbly offering support and openly welcoming approaches. \n Innovative and creative, you proactively explore new ideas and adapt quickly to change.\n\n#LI-SF1\n\n \n What We OfferThe pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. \n This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.\n Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, caregiver support, and medical travel support.Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are.Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you.\n \n \n Base Pay Range\n \n \n $219,000—$351,000 USD\n \n\n Equal Opportunity Employment Policy \n Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.\n When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.\n Our Commitment to Innovation and Fairness\n At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.\n Recruiting Agency Policy\n We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.\n Applicant AI Use Policy \n At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified.\n Trade Secret Notice\n By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.\n \n Applicant Privacy Policy\n https://semiconductor.samsung.com/about-us/careers/us/privacy/

Job DescriptionJob Description: We are seeking a highly motivated Machine Learning Engineer to join our core research and development team, focused on video understanding and segmentation. In this role, you will build the systems that let us search, decompose, and describe massive volumes of egocentric and human-robot video at scale — turning raw, unstructured footage into structured, searchable, and richly annotated training data. You will work across video/image embedding models, LLM-based video understanding, and agentic pipelines that orchestrate multiple models into end-to-end workflows. This is a foundational role that directly shapes the data quality and scalability of our entire training data platform. Responsibilities Build and optimize video/image embedding pipelines using CLIP-style and other vision-language embedding models to power large-scale, multi-modal video search and retrieval. Develop LLM-based video understanding systems for semantic indexing, summarization, and question-answering over long-form egocentric and third-person video. Design and implement instruction-level and action-level video chunking/segmentation algorithms that decompose long videos into structured, temporally-aligned clips. Build automated video captioning systems that combine vision-language models and LLMs to produce fine-grained, temporally-grounded descriptions of actions and scenes. Architect agentic systems and orchestration pipelines that chain embedding, captioning, retrieval, and LLM reasoning steps into reliable, end-to-end video understanding workflows. Develop and scale video search infrastructure (vector indexing, retrieval, ranking) to support semantic and multi-modal queries over millions of video clips. Collaborate with annotation, data engineering, and robotics teams to integrate video understanding outputs into downstream training pipelines for embodied AI and robot learning. Evaluate and benchmark embedding models, LLMs, and agentic frameworks against production needs; track frontier research and bring relevant techniques into the platform. Contribute to internal tooling, documentation, patents, and open-source initiatives where applicable. Mentor junior engineers and interns, and help shape the long-term technical roadmap for video understanding. Minimum Qualifications MS or PhD in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience. 3+ years of hands-on experience in computer vision or multi-modal machine learning, with direct experience in video understanding tasks. Strong proficiency in Python and PyTorch, with solid software engineering fundamentals. Hands-on experience with CLIP or similar vision-language/video embedding models for retrieval or representation learning. Experience building or fine-tuning LLM-based systems for video/image understanding (e.g., captioning, video QA, summarization). Familiarity with agentic system design — tool use, multi-step reasoning, and orchestration frameworks (e.g., LangChain, LlamaIndex, or custom agent loops). Experience working with large-scale video data pipelines and vector search/retrieval infrastructure (e.g., FAISS, Milvus, or equivalent). Preferred Qualifications PhD with a research focus in video understanding, multi-modal learning, or vision-language models. Experience with temporal action segmentation, action localization, or instruction-level video chunking algorithms. Experience working with egocentric video datasets or head-mounted-device (HMD) captured data. Track record of deploying production-scale video search or retrieval systems. Experience integrating foundation or vision-language models (e.g., CLIP, VideoCLIP, RT-1/VLA variants) into perception or decision-making pipelines. Publications in top-tier computer vision or ML venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, etc). Experience with humanoid robotics or embodied AI data pipelines is a plus. Default Benefits: Health insurance Vision care Dental coverage 401(k) Paid holidays PTO (Paid Time Off) Sick leave

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU What You'll Do Architecture Research Lab is focused on researching next-generation CPU (RISC-V) microarchitecture and performance for emerging computing workloads. We explore new architectural ideas, evaluate their performance potential, and rapidly turn promising concepts into working designs that can be validated on real silicon. Our research is driven by emerging opportunities in data center and agentic AI workloads, where we investigate how CPU architecture can evolve to meet new performance and efficiency requirements. We also explore CPU-memory co-design from the CPU perspective, in alignment with the broader shift toward memory-centric architectures. A distinctive aspect of our team is the way we approach architecture research. We develop and apply AI-driven methodologies to accelerate architectural exploration, broaden the design space we can investigate, and quickly iterate from ideas to implementation and silicon validation. Rather than simply following established design flows, we continuously seek new ways to explore, evaluate, and realize CPU architectures. The role offers an opportunity to work across the full spectrum of architecture research—from workload and performance analysis, microarchitectural innovation, and architectural modeling to implementation and silicon validation—while helping shape new methodologies for how future CPUs are designed. Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy Job ID: 43004 As a Staff CPU Architecture & Performance Engineer, you will shape the architecture and performance direction of next-generation CPU architectures. You will identify opportunities across emerging workloads, develop and refine performance models, evaluate system-level architectural trade-offs, and drive new microarchitectural concepts from research to implementation. You will work closely with RTL design teams to translate architectural concepts into implementable designs, guide key technical decisions, and validate their impact from modeling through silicon. The role offers broad ownership across architectural domains, with the opportunity to define new research directions, influence CPU architecture strategy, and drive ideas that can deliver meaningful performance gains in real hardware. • Propose new architecture ideas and take ownership of one or more microarchitectural domains, including front-end, mid-end, and back-end, • Use AI-driven design methodologies to rapidly implement architectural ideas and validate them on real silicon, • Build, extend, and validate performance models and architectural simulators, • Perform CPI/IPC analysis and identify root causes of performance bottlenecks, • Evaluate microarchitectural features and optimizations using trace-driven, analytical, and cycle-accurate models, • Characterize workloads and benchmarks, including SPEC, server, client, AI/ML, agentic AI, and internal traces, • Translate performance analysis and modeling results into architectural direction and design decisions, • Drive research leading to patents and technical publications What You Bring • Master's degree in Computer Engineering, Computer Science, or a related field with 8+ years of relevant experience, or PhD with 5+ years of relevant experience, • 4+ years of experience in CPU microarchitecture or performance engineering, • Experience designing RISC-V, ARM, x86 CPU cores, or GPU/NPU vector unit, • Strong understanding of out-of-order execution, branch prediction, pipelines, speculation, and cache/memory systems, • Hands-on experience with architectural simulators such as gem5, • Proficiency in C/C++ and Python, • Experience analyzing large-scale performance data and traces Preferred Qualifications • Experience with AI-driven or agentic design workflows, including high-level design languages and AI-assisted RTL generation, or a strong interest in and ability to quickly learn such methods, • Understanding of agentic AI workload execution patterns, • Domain-specific experience in one or more of the following areas:, • Front-end: Branch prediction and decoupled fetch, particularly for compiler- or interpreter-driven workloads, • Mid-end: RVV/SIMD, matrix/tensor engine design, and out-of-order vector execution, • Back-end: LSU/MSHR design and prefetcher design for irregular access patterns, • Experience with PPA trade-off analysis, • Experience leading and mentoring junior engineers, • Experience with CPU tapeout or silicon validation, • Experience with patents or technical publications, • You're inclusive, adapting your style to the situation and diverse global norms of our people., • You approach challenges with curiosity and resilience, seeking data to help build understanding., • You're collaborative, building relationships, humbly offering support and openly welcoming approaches., • Innovative and creative, you proactively explore new ideas and adapt quickly to change #LI-SF1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, caregiver support, and medical travel support. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $163,000—$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/

Job DescriptionCompany Description We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve., • Discover new directions: At Bosch, you will find your place., • Balance your life: At Bosch, your job matches your lifestyle., • Celebrate success: At Bosch, we celebrate you., • Be yourself: At Bosch, we value values., • Shape tomorrow: At Bosch, you change lives. “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Director for Simulation and Evaluation, you will sit at the center of the Global AI Backbone, architecting the multi-level simulation ecosystems required to train, evaluate and validate next-generation Foundation Models. You will bridge the gap between high-fidelity sensor simulation and generative world models, ensuring our AI systems are statistically proven to be safe and robust before hitting the road. This is a global role that requires you to define and manage a global simulation and evaluation ecosystem that enables continuous development and deployment of our ADAS systems. Key Responsibilities: • Lead AI Simulation & Foundation Model Strategy: Define the roadmap for high throughput, closed-loop simulation., • Research and propose new methodologies to assess the quality, safety, and realism of ML models used for training, evaluation and validation of L2++ and L4 automated driving stacks., • Architect Evaluation Frameworks: Build the infrastructure. Develop tools that allow for rapid iteration of Foundation Models, ensuring model improvements translate into measurable gains in fleet-wide performance., • Drive Generative AI Innovation: Lead the development of World Models to predict and generate complex, realisticedge cases. Build data pipelines for signal discovery, data labeling, and metric computation based on large-scale simulations., • Production Release Authority: Establish the "gold standard" for evaluation that informs SoP (Start of Production) and model release decisions. Translate complex simulation data into technical strategy documentation for executive decision-making., • Global Technical Leadership: Lead, mentor and inspire a cross-functional global team of SWEs, Data Scientists, and ML experts, fostering a culture of rigorous statistical validation and innovative engineering.Qualifications Basic Qualifications: • Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, Statistics, Physics, or a related quantitative field., • 10+ years of experience in software engineering, with a specific focus on embedded systems, automotive, or robotics., • 7+ years of experience leading complex software projects from concept to production within the ADAS or Autonomous Driving domain., • Direct, hands-on experience with L2++ or L4 system Start of Production (SoP), specifically overseeing simulation, testing, and validation protocols for high-stakes deployments., • 5+ years of involvement with the development or evaluation of large-scale AI, LLMs, or World Models/Generative AI models for simulation and behavioral prediction., • Expert-level understanding of multi-level simulation platforms, including high-fidelity sensorlevel simulation for perception and scalable object-level simulation for behavioral training., • Proven mastery of data-driven report writing and technical strategy documentation designed for executive decision-making and safety case justifications. Preferred Qualifications: • 5+ years of experience with high-throughput simulation, GPU-accelerated technologies (CUDA), parallel computing, and Reinforcement Learning (RL)., • Mastery of C++ and Python. Experience building automated data pipelines for signal discovery, data labeling, and large-scale metric computation., • 5+ years of experience managing and mentoring global, multi-disciplinary teams of Software Engineers, Data Scientists, and ML experts., • Working knowledge of automotive industry safety standards and regulations (e.g., ISO 26262, SOTIF) as they apply to virtual validation. Additional Information Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. The U.S. base salary range for this full-time position is between $240,000-300,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. #LI-JGM1 #selfdriving #hybridjobs #AV #autonomoussystems

Job Description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. Our Team The CRAFT (Capabilities, Routing, Adaptation & Fine-Tuning) team at CoreWeave is building tools to help agents learn from experience. This is a critical step to make agents reliable enough to perform long tasks autonomously, in the same way human employees are. We're systematically identifying and solving the major bottlenecks between today's tech and those future self-improving agents. So far, we've: • Released ART, the easiest library for getting started with RL., • Developed RULER, a general-purpose reward function that works across many diverse tasks., • Built Serverless RL, an elegant API that gives RL practitioners full control over their data, environment, and reward function while letting them outsource the headaches of managing GPU infrastructure. These releases have a theme: we're systematically tackling each major roadblock to successfully training self-improving agents. Several serious challenges remain. Building simulated environments often requires substantial human labor, and existing training methods are not data-efficient enough. We're laser-focused on solving these problems and making self-improvement a reality for agent developers. In startup terms, this is a classic hard-tech bet. Our roadmap involves substantial technical risk; there are still major technical problems we're facing without a proven solution. However, there is very little market risk. We've worked closely with the teams building agents at many of the top AI-native startups as well as large enterprises. If we can build this, everyone will want it. A self improving agent that learns from experience the way a human employee would could quickly capture a large fraction of the total inference market, which is worth tens of billions of dollars today and will be worth hundreds of billions in a few years. About the Role You have trained LLMs to be SOTA on specific tasks. You have opinions on whether sequence-level or token-level importance ratios are more effective. You probably shared the ScaleRL paper in your group chats, and kicked off a few ablations after you read it. You will be expected to generate and investigate research ideas towards solving the remaining obstacles to continuous learning in production. You will work with the broader CRAFT team to validate these research directions across real customer tasks. We are very GPU rich and are ready to direct an enormous amount of compute at this effort. Beyond your role's specific qualifications, we're looking for strong engineers with great taste. The most important qualification by far is that you learn fast and can ship. This role will inevitably involve a lot of learning on the job; we're building this airplane as we fly it. Engineers on our team touch everything from CUDA kernels to high-performance LLM tracing dashboards, and you will have an opportunity to touch many parts of this stack. Although we operate as part of a larger company, the CRAFT team is small, has a large degree of autonomy and drives our own roadmap and priorities. This is an excellent role for someone looking to find their own company in the future. Required Qualifications • Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field, • 4+ years of experience in machine learning, or a PhD with 2+ years of relevant industry experience, with a strong focus on model training, • Strong programming skills in Python and hands on experience with modern ML frameworks such as PyTorch or JAX, • Strong understanding of LLM post-training techniques, including supervised fine-tuning, reinforcement learning, and on-policy distillation, • Experience developing, evaluating, and deploying machine learning models in production environments, • Strong research and problem solving skills, with the ability to work effectively in ambiguous, fast moving environments Preferred Qualifications • Publications, open source contributions, or demonstrated research impact in LLM post-training or agent learning, • Experience with distributed training, GPU acceleration, and large scale model training systems, • Experience leading technically complex projects or mentoring other engineers Our Stack We strive to use the best tool for the job when building and deploying our production services. Sometimes that means writing our own custom code, and often it means leaning on the work of others. As part of building Serverless RL, we depend on the following libraries and frameworks (among many others): • Kubernetes, • Megatron, • Temporal, • Postgres, • FastAPI Why CoreWeave? We work hard, have fun, and move fast! We're in an exciting stage of hypergrowth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCompany Description Eurofins EAG Laboratories has over 40 years experience in engineering and materials testing services. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services operating over 950 labs in 60 countries with 65,000 employees with a portfolio of over 200,000 validated analytical methods. At EAG, curiosity fuels everything we do. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, engineering rigor, and solving problems that matter, you’ll feel right at home here. Our scientists and engineers support industries ranging from semiconductors and advanced electronics to pharmaceuticals, medical devices, energy systems, and consumer products. Using advanced techniques in analytical chemistry, microscopy, surface analysis, and engineering sciences, we help clients solve complex challenges across the product lifecycle. What sets EAG apart isn’t just our world‑class instrumentation—it’s our people. We’re problem solvers, collaborators, and lifelong learners who value precision, curiosity, and impact. Here, your work directly influences the safety, reliability, and performance of products used around the globe. Imagine the possibilities. Let’s explore them together. Job Description Join our innovative Dual Beam Analysis team, where you'll work with state-of-the-art microscopy tools to support imaging and materials analysis of client samples. We're seeking a skilled Scientist with expertise in Dual Beam FIB/SEM technology to play a critical role in advanced microscopy investigations. In this role, you'll prepare high-quality TEM lamella, perform SEM imaging and EDS analysis on FIB cross-sections to support detailed structural, compositional, and failure analysis for clients across diverse industries. You'll also contribute to critical dimension (CD) measurements, process optimization, and work closely with cross-functional teams to deliver timely analytical results for a wide range of semiconductor and materials characterization projects. The ideal candidate is a strong technical contributor who enjoys working directly with advanced tools, thrives in a collaborative, fast-paced laboratory environment, and takes pride in delivering results for clients. What You'll Do: • Support FIB/SEM operation, including TEM lamella preparation and FIB-SEM/EDS analysis., • Develop and implement automation workflows on Dual Beam (FIB/SEM) systems for lamella prep, cross-sectioning, and imaging., • Maintain pipelines for FIB sample preparation, SEM imaging, and data acquisition., • Perform image processing and analysis on 2D/3D FIB/SEM datasets., • Improve throughput, repeatability, and data quality of Dual Beam services., • Collaborate with cross-functional teams to solve failure analysis and materials characterization challenges., • Engage with a diverse customer base across multiple industries, providing technical consultation and guidance on analytical approaches and solutions. Work Schedule: 5pm-2am, Tuesdays to Saturdays (Shift differential will apply) Qualifications • MS or PhD in Materials Science and Engineering or related field or equivalent industrial experience., • Must have in-depth knowledge of electron microscopy; Dual Beam (FIB/SEM) imaging., • Expert with SEM/EDX, or TEM sample preparation., • Solid understanding of semiconductor device physics and failure analysis (through previous work experience or course work)., • Excellent communication skills (written, verbal and presentation). What would set you apart: • Experience with semiconductor chip products and wafer samples is a plus. Additional Information Compensation is aligned with market standards for the region and tailored to individual qualifications and experience. Physical Requirements: • Ability to continuously operate a personal computer or lab equipment for extended periods of time (4 or more hours)., • Ability to operate a keyboard and other lab equipment, use a telephone, access file cabinets and other items stored at various levels, including overhead., • Ability to communicate clearly and understandably ensure an accurate exchange of information in normal conversational distance, over the telephone, and in a group setting., • Ability to handle small and fragile devices with tweezers and /or fingers., • Require close distance visual acuity with or without correction (Glasses, Contacts, etc.)., • Must be able to remain in a stationary position 80% of the time. The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. What It’s Like to Work Here: • Teamwork: Be inspired by your leaders, be encouraged by your teammates and be supported in all parts of your journey while you work with us., • Learning & Development: Take on career development programs and goal setting to create big possibilities for your career and life. Develop within the company; be mentored and grown as a leader., • Diversity & Authenticity: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. Benefits & Perks to Foster Work/Life Balance: ✓ Medical, Dental and Vision Insurance ✓ 401k Company Matching ✓ Wellness Program ✓ Volunteer Time off ✓ Education Assistance ✓ Fitness Reimbursement ✓ …and more! Eurofins EAG Laboratories is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the Company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law. The Company’s policy is to recruit, hire, train, promote and administer all employment-related matters based on an individual's qualifications, abilities and efforts without regard to protected status. Learn more about us at www.EAG.com and check out our Careers’ page for other opportunities! 67081 Eurofins USA Material Sciences is a Disabled and Veteran Equal Employment Opportunity employer.

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. Principal Engineer, SOC Design What You'll Do The DRAM Development Lab (DDL) is part of Samsung's Memory Business Unit, the industry's technology and volume leader in DRAM, HBM and NAND Flash. DDL's vision is to solve key problems of Cloud & Data center by developing the new technology for memory and storage. The SOC team within DDL focuses on the development of silicon solutions. We are an integral part of Samsung's strong R&D focus & lab innovation engine. We work closely with development teams to bring feature innovation to product roadmaps. Come join the team that is creating new computing system architectures needed to support emerging machine learning applications, data analytics and edge computing. You'll focus on enhancement of memory and storage capability by developing prototype and production controllers. Job ID: 43022 Location: Daily onsite presence at our San Jose or Folsom office in alignment with our Flexible Work policy • Participate in architectural definitions and responsible for micro architecture of subsystem and/or chip level., • Responsible for top integration, logic design and RTL implementation along with quality check (Assertion, Lint, CDC, and STA)., • Reviews 3rd party IPs including ARM cores, DDR controller, and UCIe PHY, • Responsible for integrating the third part IPs and sub system at top level, • Work closely with architects and verification engineers to ensure sound design at SoC level., • Work with physical designers on timing constraints, synthesis, DFT insertion, and static timing analysis What You Bring • Bachelors in Electrical, Computer Science or related with 20+ years of experience or Masters in Electrical, Computer Science or related Science with 18+ years of Industry Experience or PhD in Electrical, Computer Science or related Science with 15+ years of Industry experience preferred., • Highly motivated with good verbal and written communication skills., • Hands on knowledge & experience in ASIC design flow from design to tape out., • Experience & Good knowledge in ATE vector generation, testing and silicon bring up., • Experience in the commercial IPs such as UCIe, CPU, Ethernet, and DDR interfaces., • Good understanding of PPA (performance, power, and area) trade-offs., • Experience in SoC level synthesis, timing analysis, lint check, CDC checks., • Experience in interfacing 3rd party service companies for DFT/PI/PD., • Good knowledge and experience in AMBA bus fabric, ARM cores., • Self-motivated problem-solver with an ability to work well in a team., • You're inclusive, adapting your style to the situation and diverse global norms of our people., • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding., • You're collaborative, building relationships, humbly offering support and openly welcoming approaches., • Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-SF1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $219,000—$351,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/

Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Our supercomputing role focuses on the design, development, and deployment of ML system software required for operating rack-scale systems. Your work will span network performance, telemetry creation and processing pipelines, and analysis of system-level health and performance. Supercomputing is also responsible for the deployment and provisioning of software frameworks and hardware validation, maintaining secure and performant systems for data center scale ML workloads. We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns. You may be a good fit if you have Progress towards a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related technical field. Proficiency in C/C++ or Rust Proficiency in Python Strong fundamentals in data structures and algorithms Strong understanding of low-level software engineering Strong understanding of hardware/software co-design Excellent communication and collaboration skills Strong candidates may also have (Nice to have qualifications) Experience with Linux internals, kernel development, or driver debugging Experience with hardware diagnostics or interpreting hardware logs Exposure to server virtualization or CI/CD pipelines Experience with Rust or embedded development We encourage you to apply even if you do not believe you meet every qualification. Program details 12-week paid internship Generous housing support for those relocating Daily lunch and dinner in our office Based at our office in San Jose, CA Direct mentorship from industry leaders and world-class engineers Opportunity to work on one of the most important problems of our time For any questions, contact internships@etched.com How we’re different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Job DescriptionNetwork Platform Software Development- Technical Lead San Jose, CA/US Remote About Arrcus Arrcus was founded to enhance business efficiency through superior network connectivity. The Arrcus Connected Edge (ACE) platform offers best-in-class networking with the most flexible consumption model at the lowest total cost of ownership. The Arrcus team comprises world-class technologists with an unparalleled record in shipping industry-leading networking products, complemented by industry thought leaders, operating executives, strategic partners, and top-tier VCs. The company is headquartered in San Jose, California. For more information, go to www.arrcus.com or follow @arrcusinc. We offer a variety of roles in software, hardware, and cloud environments. We are looking for people who are self-motivated, creative, and agile. You will work closely with the top-notch talent in Arrcus in redefining networking. Prior work experience in a venture-backed company is a big plus. Responsibilities: • Design and develop data path solutions for L3 (IPv4, IPv6, MPLS, SR/SRv6, VRF, L3VPN) and L2 (STP, LLDP, sFlow, LAG, MLAG) networking technologies., • Architect and implement QoS features, including queueing, classification, policing, shaping, ACL, ECN, and WRED., • Work with ASIC families (e.g., BCM XGS, BF Tofino) and develop software using BCM SDK, P4, and DPDK., • Optimize and enhance Linux networking internals, including memory management, network stack, and hardware abstraction layers (RIB, FIB, HAL)., • Develop and maintain high-availability (HA) solutions, ISSU, and Linux-based networking systems., • Work on Debian packaging, Linux kernel modifications, and kernel networking stack optimizations., • Develop and integrate software for containerized and virtualized networking environments.Requirements:, • Education: BS/MS/PhD in Computer Engineering, Computer Science, or equivalent field. Experience: . 8+ years of hands-on development experience in networking software development. • Strong proficiency in C/C++/Go/Python programming., • Deep understanding of ASIC pipeline architectures and networking hardware., • Hands-on experience with Linux OS internals, Debian build/packaging, and kernel networking stack., • Experience with RIB, FIB, HAL, and high-availability (HA) networking solutions., • Knowledge of containers (Docker, Kubernetes) and virtual machines (VMs) is a plus. Preferred Skills:, • Experience with DPDK, P4, BCM SDK, or other hardware programming interfaces., • Strong debugging and performance optimization skills., • Experience with high-performance, distributed networking systems. Benefits • Bonus + Equity, • 100% covered medical, dental, and vision insurance, • Parental leave, • 401k retirement plan, • Employee Assistance programs, • Health & wellness programs and resources, • Weekly Catered lunches at our San Jose office., • Monthly happy hours at our San Jose officeSalary: $150,000-$175000 Per Year Equal Opportunity At Arrcus, we’re proud to be an equal-opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone. A strong belief in cultural addition will propel us forward together. With this, we consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, benefits, compensation, and training.. Powered by JazzHR EKoG8wOxZ6

Job Description About Knightscope Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force — autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force. About the Role The gap between a robot that observes and a robot that acts is the intelligence layer. We are looking for a Staff Autonomy Engineer to own this layer end to end. You will define how our robot’s reason about their environment and respond, drawing on the latest advances in embodied AI, learned planning, and real-time decision making. This is not a role where you own one slice of a large stack. You will architect and ship the full intelligence-to-action loop on a deployed production fleet and build the learning pipeline that makes it better with every mission. Key Responsibilities • Advance core AI and machine learning capabilities for embodied autonomy, spanning computer vision, learned planning, open-world generalization, and real-time decision making, across deployed robotic platforms., • Push the boundaries of learning-based robotics by incorporating large vision-language-action models to improve reasoning, situational understanding, and explainability in safety-critical environments., • Own the full intelligence-to-action loop: from sensor observations through entity reasoning, world-state modeling, to policy decisions that drive safe, bounded robot behavior., • Build the closed-loop learning pipeline: production outcomes and operator feedback feed model evaluation and policy improvement without modifying safety-critical boundaries., • Drive technical architecture decisions across the autonomy stack and mentor engineers across the team. Required Qualifications • 7+ years shipping autonomy, planning, or decision-making systems to production in robotics, autonomous vehicles, or safety-critical platforms., • Deep expertise in one or more areas: behavior planning and policy execution, imitation learning or reinforcement learning for real-world robot control, end-to-end learned autonomy systems, or large-scale ML for real-time decision making., • Hands-on experience integrating learned planning or policy models with classical control systems and deterministic safety constraints., • Strong software engineering in C++ and Python; experience with real-time autonomy stacks., • Demonstrated ability to take systems from research prototype to deployed production platform., • Track record of driving architecture decisions across perception, planning, and controls teams. Preferred Qualifications • MS or PhD in Robotics, Computer Science, Machine Learning, or related field., • Experience with autonomous vehicles, deployed robotics, or embodied AI systems in production., • Background in trajectory planning, behavior modeling, or autonomy policy design., • Familiarity with VLA architectures, foundation models for robot control, or large-scale pre-trained policies adapted for real-world deployment., • Experience building data flywheel or simulation-based training pipelines for production ML systems., • Familiarity with functional safety standards, ISO 26262 or SOTIF. Compensation & Benefits • Base Salary: $240,000 to $275,000, • Equity: Stock options, • Benefits: Medical, dental, vision, 401(k), paid time off, • Location Requirement: Full-time, on-site at Sunnyvale HQ

Job Description Staff Software Engineer, GPU Algorithms We are looking for a full-time Staff Software Engineer, GPU Algorithms with a strong background in ultrasound, medical image reconstruction, and programming languages such as C++ and CUDA to shape our new ultrasound imaging platform. As a Staff Software Engineer, you will work on developing and optimizing GPU algorithms and techniques related to ultrasound signal processing, image formation, and analysis. The primary focus of this software engineering role is to improve the quality, accuracy, and interpretation of ultrasound images for DeepSight's revolutionary Ultrasound system. WE OFFER GREAT BENEFITS AND PERKS TO OUR SOFTWARE ENGINEERING TEAM: • Competitive salary of $170,000-$220,000, • Stock options, • Medical, dental, and vision insurance, • 401(k) retirement plan AS A STAFF SOFTWARE ENGINEER SPECIALIZING IN GPU ALGORITHMS, YOUR RESPONSIBILITIES ARE: • Developing advanced beamforming techniques to enhance the spatial resolution and image quality of ultrasound scans., • Designing algorithms for image enhancement, noise reduction, edge detection, and speckle reduction in ultrasound images., • Developing algorithms for reconstructing 2D or 3D images from acquired ultrasound data. This involves handling data interpolation, scan conversion, and geometric transformations., • Designing algorithms to extract relevant features and perform segmentation of structures or regions of interest in ultrasound images., • Developing techniques to compensate for motion artifacts caused by patient movement or tissue motion during ultrasound scanning. This can involve image registration, motion estimation, and correction algorithms., • Exploring the application of machine learning and artificial intelligence (AI) techniques to improve ultrasound image analysis, automate diagnosis, or assist in image interpretation tasks., • Collaborating with systems and hardware engineers to optimize the integration of ultrasound imaging systems, ensuring efficient data acquisition, processing, and display., • Implement proposed solutions using C++ and CUDA programming languages. REQUIRED QUALIFICATIONS: • BS in an engineering or computer science field, • Familiarity in ultrasound physics, signal and image processing, beamforming, simulation, algorithm development, or tool development, • Strong background in object-oriented programming, software architecture, and design patterns, • Proficiency with C++ programming, • Experience in concurrent/parallel programming-multithreading, multiprocessing, GPU acceleration (CUDA, CuPy, Numba, OpenCL, Halide), • Deep familiarity with common developer tool sets, including source control, continuous integration, and automated unit testing, • Passionate about medical devices, with excellent communication and teamwork skills PREFERRED QUALIFICATIONS FOR THIS SOFTWARE ENGINEERING ROLE: • PhD in Electrical/Biomedical engineering with a dissertation topic related to ultrasound imaging or therapy, • 5+ years of experience in commercial software development, • Experience in medical imaging product development (FDA regulated), • Experience with real-time software applications, • Experience interfacing with hardware components and systems, • Knowledge of DICOM and HL7 QUALITIES WE ARE LOOKING FOR IN THIS STAFF SOFTWARE ENGINEER, GPU ALGORITHMS POSITION: • Positive - a can-do attitude that helps you rise to challenges, • Collaborative - a team player who can effectively communicate with others, • Attentive to detail - nothing gets by you, • Efficient with a knack for effectively prioritizing tasks and managing your time, • Proud of your work and real desire to do quality work, • Career-minded - looking for more than a job, • Empathetic - a mindset of producing quality products that help people JOIN OUR SOFTWARE ENGINEERING TEAM! Ready to take on the challenge? If you've got the drive to succeed and the hustle to make things happen, we're excited to have you join our team! Use our 3-minute initial application to apply now! Job Posted by ApplicantPro

Job Description About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary We are looking for Research Scientists to tackle the data problems that determine our world model capabilities. You will design, develop, and run state-of-the-art systems for curating, ingesting, filtering, annotating, and training with billion-scale visual data. You will work on problems including, but not limited to, motion scoring, camera control, and video understanding. You will translate our team’s human efforts into durable automated systems, whose performance is quantitatively verifiable. Key Responsibilities Translate requirements from downstream training, application and eval teams to actionable data work. Design and build scalable data pipelines. Collaborate with engineering to scale data pipelines on AWS infrastructure and in-house clusters. Develop state-of-the-art visual understanding systems to accurately label and annotate images and videos, such as for detecting AI-generated content. Academic Qualifications PhD in Machine Learning or Computer Science, or equivalent industry experience. Professional Experience Necessary: Strong communication and collaboration skills for effective cross-functional teamwork. Ability to navigate ambiguity and drive projects in rapidly evolving research areas. Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges. Preferred: Experience in building and optimizing large-scale video data pipelines. Experience with large scale video curation. Experience with data filtering, particularly AI-generated content detection and duplicate detection. Experience with image or video data annotation. Experience with video data curriculum. Strong systems and engineering expertise in deep learning frameworks such as PyTorch. Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include Comprehensive medical, dental, and vision benefits Bonus 401K Plan Generous paid time off, sick leave and holidays Paid Parental Leave Employee Assistance Program *Life insurance and disability We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. The roles Our chip simulation and tooling role will co-design, develop, and test simulations of our custom hardware and tools that engineers use to analyze those systems. You will be working at the cutting edge of hardware innovation, closely coordinating with both software and hardware teams across their whole development path. We are looking for Fall '26, Spring '27, and Summer '27 interns. You may be a good fit if you have Progress towards a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related technical field. Proficiency in C/C++ or Rust Strong fundamentals in data structures and algorithms Strong understanding of low-level software engineering Strong understanding of hardware/software co-design Excellent communication and collaboration skills Strong candidates may also have (Nice to have qualifications) Experience with Linux internals, kernel development, or driver debugging Experience with hardware diagnostics or interpreting hardware logs Exposure to server virtualization or CI/CD pipelines Experience with Rust or embedded development We encourage you to apply even if you do not believe you meet every qualification. Program details 12-week paid internship Generous housing support for those relocating Daily lunch and dinner in our office Based at our office in San Jose, CA Direct mentorship from industry leaders and world-class engineers Opportunity to work on one of the most important problems of our time For any questions, contact internships@etched.com How we’re different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Job DescriptionCompany Description “Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As The Head of Technology and Development for ADAS in North America, you will lead the technical vision, strategy, and execution for our global advanced driver assistance systems development and deployment. This includes driving innovation, overseeing a high-performing engineering team, and collaborating closely with global counterparts to deliver cutting-edge L2+ and L3 ADAS solutions. While your primary focus is on the overall functional ADAS technology roadmap, you will also play a crucial role in defining the ADAS development and delivery ecosystem that enables our success. This involves defining, delivering and managing a global, multi-project capable data-driven platform for training, testing, and deploying AI models focused ADAS systems to our customers. Responsibilities • Lead ADAS Technology Strategy: Define and execute the North American ADAS technology roadmap, aligned with global Bosch strategy and customer needs. This includes ownership of the architectural vision, technology selection, and development processes., • Drive Innovation: Foster a culture of innovation and explore emerging technologies to maintain Bosch's leadership in the ADAS space. Identify and evaluate new concepts, algorithms, and hardware to enhance our ADAS offerings., • Build and Manage High-Performing Teams: Lead, mentor, and inspire a team of highly skilled engineers, fostering collaboration and individual growth. This includes resource allocation, performance management, and talent acquisition., • Global Collaboration: Work closely with global ADAS teams, including engineering, product management, and research, to ensure alignment and leverage synergies across regions., • AI Development Ecosystem Ownership:, • Build and lead a global team of key stakeholders & contributors to define the data lifecycle and business processes for continuously developing and deploying ML-based ADAS systems globally, • Oversee the design and evolution of the ADAS system delivery ecosystem, encompassing data acquisition, processing, model training, testing, validation, and deployment., • Ensure seamless integration of AI models into the broader ADAS software architecture and contribute to the overall platform strategy., • Champion and implement modern software development and DevOps practices (CI/CD, Agile, Domain and Data Driven Design) within the continuous multi-customer development lifecycle., • Stay abreast of emerging trends in AI/ML and adapt the ecosystem accordingly., • Customer Engagement & Partnerships: Build and maintain relationships with key customers and partners in the automotive industry to understand their needs and shape future product development. Qualifications Basic Qualifications • Master's or PhD in Computer Science, Electrical Engineering, or a related field., • Last 5 years of proven track record leading complex software projects from concept to production in the ADAS domain., • Deep understanding of cloud-based infrastructure and platforms (AWS, Azure, GCP)., • Experience with data lifecycle management, including data acquisition, processing, and storage., • Proficient in C++, Python, and other relevant programming languages., • Experience with ADAS system architecture and development, specifically for L2+ and L3 autonomy., • Strong leadership skills and experience managing large, geographically dispersed teams., • Excellent communication and interpersonal skills, with the ability to interact effectively with senior management and external stakeholders., • Familiarity with automotive industry standards and regulations. Preferred Qualifications: • 10+ years of experience in software engineering, with a focus on embedded systems, automotive, or robotics. Significant experience in data-driven software development, including ML/AI., • Proven leadership skills of large heterogeneous and global project teams including engineers, product and project managers as well as financial staff, e.g. controlling., • Comfortable in interacting with C-Suite management to develop overall vision and its implementation, • Knowledge regarding the technology enabling automated driving and the automotive industry in general., • Able to quickly adapt to new business challenges and translate them into new cloud based architecture solutions catering to a global multi-customer landscape. Additional Information The U.S. base salary range for this full-time position is $290,000 - $400,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. #LI-JM1

Job Description About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary As a member of the Agents team, you will tackle research and engineering challenges to train advanced agentic language models that are adept at using reasoning and tool use to complete tasks on a computer. These challenges range from building high-quality training datasets and robust evaluations to innovative reinforcement learning infrastructure, algorithms and environments. The team aims to recruit candidates across the research-engineering spectrum, from algorithmic and empirical research to large-scale systems and optimization, reflecting the breadth of interesting problems we aim to solve. We value depth in any subset of these areas; there is no single “right” background. Key Responsibilities · Propose, prototype, and scale algorithms/systems to support agentic learning · Develop new paradigms for agentic behavior that go beyond current practices · Contribute to technical reports, research publications, and open-source software · Collaborate with other teams to produce state-of-the-art foundation models Academic Qualifications • BS, MS, or PhD degree (or equivalent experience) in Computer Science, Machine Learning, or related fields Professional Experience Minimum · 2 years of experience working in one of the following or related areas: LLM training/fine-tuning, evaluations, reinforcement learning, LLM inference, distributed machine learning systems · Python and PyTorch development experience · Experience in using LLM agents for your personal or professional use · Experience in designing and implementing algorithms from scratch (for algorithms focus) · Experience in dataset curation and generation (for data focus) · Experience in building or contributing to training/serving infrastructure (for systems focus) · Experience in designing and deep diving into evaluations (for evals focus) Preferred Skills · Expertise in one or more of PyTorch, Ray, Triton, CUDA C++ · Strong knowledge of literature on RL, LLM reasoning, and tool use · Experience in training or using LLM agents for SWE tasks · Deep understanding of reinforcement learning principles · Experience implementing distributed learning algorithms · Contributions to published research and/or open-source ML software Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include Comprehensive medical, dental, and vision benefits Bonus 401K Plan Generous paid time off, sick leave and holidays Paid Parental Leave Employee Assistance Program *Life insurance and disability We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. About the Team The Planning team is responsible for making sure PlusAI’s trucks make the right decision in every driving situation, safely, smoothly, and predictably for other road users, even when working with noisy, uncertain, or incomplete information about the world. This is a cross-functional problem that requires close collaboration with Perception, Prediction, Controls, and Safety, and a willingness to work at the edge of research and production: bringing state-of-the-art decision-making and optimization techniques into a system that runs on real trucks, on real roads, today. About the Role As a Senior Software Engineer on the Motion Planning team, you’ll research, develop, and implement planning technologies that let PlusAI’s trucks handle complex, real-world driving scenarios in a safe and human-like manner. You’ll work across the full decision-making stack, from reasoning about what the truck should do to determining precisely how it should get there, while accounting for the many ways a scenario could unfold. Responsibilities • Design and implement algorithms for decision-making and trajectory generation, ensuring safety, comfort, and reliability across a wide range of driving conditions., • Bring novel robotics and machine learning techniques from research into a production-grade, safety-critical system., • Reason about complex, socially-nuanced driving situations, such as negotiating merges, junctions, and interactions with other road users, under uncertainty., • Utilize modern C++ numerical optimization frameworks (e.g., CasADi, Acados) and industry-standard tooling (git, ROS, etc.) to integrate new planning algorithms into the production stack., • Partner closely with the ML and prediction teams to integrate, refine, and act on probabilistic and multi-future representations of how a scenario might evolve, shaping how these outputs are consumed by planning decisions., • Perform system-level diagnostics and tuning using in-house and open-source visualization tools (e.g., webviz)., • Collaborate cross-functionally and communicate clearly, producing system designs that are reviewed and approved at a high level before implementation begins.Required skills, • MS with 1-2 years of relevant experience, or PhD, in Computer Science, Robotics, or a related field., • Strong production software development skills in C++; Python experience a plus., • Robotics expertise in one or more of: path planning, motion planning, trajectory generation, behavior planning, optimal control., • Strong math (geometry, analysis, probability) and physics (kinematics, dynamics) fundamentals., • Experience designing, implementing, and refining planning algorithms on a real-world robotic or vehicle platform., • Strong oral and written communication skills, with the ability to collaborate across teams and derive solutions from cross-functional inputPreferred skills, • PhD + 1-2 years or MS + 3-4 years of relevant experience., • Bonus: exposure to machine learning techniques such as deep learning, imitation learning, transformer-based models, or diffusion-based models, particularly as applied to decision-making or scenario generation., • Familiarity with safety frameworks for autonomy (e.g., RSS, collision avoidance/MRM logic)., • Prior experience working on safety-critical systems.Your opportunities joining PlusAI Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of opportunities for personal and professional development. Catered free lunch, unlimited snacks and beverages. Highly competitive salary and benefits package, including 401(k) plan. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here. Job Description Essential Job Duties • Gather high-level cross-functional requirements, ranging from customer-facing requirements to clinical and safety requirements, and cybersecurity requirements. • Collaborate with cross-functional stakeholders on the definition of development plans and timelines, that combine technical needs with schedule and resource need. • Identify interfaces and communication requirements between hardware and software components, architect modular and testable software that supports the system high-level behaviors. • Support prototyping and development activities of novel surgical robotic platforms, by leveraging and adapting the existing infrastructure that is shared across all Intuitive robotic systems; learn from each iteration, refine and extend code quickly and methodically. • Lead formal risk analysis; identify additional hardware requirements and develop software mitigations. • Act as software lead in the high-level specification, bring-up and integration of new custom PCAs and FPGA IP. • Perform detailed design, development, documentation and support verification activities of embedded software and supervisory state machines, in compliance with regulatory requirements and Intuitive's internal guidelines. • Contribute broadly to multiple areas of software development for our distributed multi-processor systems, including but not limited to video and servo hardware control and monitoring, inter-processor communication subsystem development, system diagnostic and service application development, user interface development • Apply high level and specialized industry expertise that results in new innovations and problem-solving approaches that can be leveraged across multiple products. • Represent your project ably in interactions externally with key customer collaborators and internally within the company. Qualifications Required Education and Training • Bachelor’s degree or above in Computer Science, Electrical Engineering or Computer Engineering, or similar technical field. • A minimum of 12 years of experience in developing and supporting embedded systems (or 8 years with a Master’s degree, or 5 years with a PhD degree). Required Skills and Experience • Fluent in designing and developing mission-critical cross-platform code in C++ or C, with focus on embedded and real time systems (e.g. QNX). • Fluent with embedded compute architectures, and their development and testing methodologies, including hardware debugging. • Fluent with communication protocols such as TCP/IP, CAN, serialization protocols. • Fluent with memory management, concurrency, synchronous and asynchronous event handling. • Working knowledge of Python or other scripting languages for automation, diagnostics and testing. Familiarity with Vivado and other FPGA development tools. Preferred Skills and Experience • Familiarity with servo-controls and electro-mechanical systems., • Experience designing software products in a regulated industry or for mission critical applications; comfort with concepts of design input, design output, traceability, risk analysis, and mitigations. • Familiarity with medical technology projects from inception through field validation to launch. Strong understanding of medical product ecosystem services. • Familiarity with CUDA programming and memory management concepts., • Cyber-security concepts such as secure boot, authentication and encryption., • Hands-on engineering experience with proven ability to work effectively in a team environment. Additional Information Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Mandatory Notices U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.

Job Description Who we are: Persimmons is building the infrastructure that will power the next decade of AI. Founded in 2023 by veteran technologists from the worlds of semiconductors, AI systems, and software innovation, We’re on a mission to enable smarter devices, more sustainable data centers, and entirely new applications the world hasn’t imagined yet. Why join us: We’re growing fast and looking for bold thinkers, builders, and curious problem-solvers who want to push the limits of AI hardware and software. If you're ready to join a world-class team and play a critical role in making a global impact - we want to talk to you. What you’ll do: As a leader on our team, you have the opportunity of working on optimizing our Persimmons Compiler. • Design and build the compiler that converts AI models from popular ML frameworks into assembly code that runs on our accelerator hardware., • Develop and implement novel scheduling algorithms that push the boundaries of technology., • Collaborate with cross-functional teams to design, test, and optimize our hardware and software solutions., • Analyze and improve the efficiency, scalability, and performance of our systems., • Stay abreast of industry trends and advancements to ensure our solutions remain competitive and innovative., • Provide technical leadership across the compiler team, mentoring engineers in advanced compiler techniques, and help scale the team as the company grows. Requirements What You Bring To The Table: • 6+ years of experience in compiler development, and deep knowledge of modern compiler frameworks (LLVM, MLIR, TVM, XLA, IREE), • Proven track record of leading compiler or runtime systems projects from design through deployment., • Experience processing models from popular frameworks (e.g. PyTorch, TensorFlow, JAX), and familiarity with model architecture and workloads (transformers, diffusion models, etc.), • Familiarity with auto-scheduling and program synthesis techniques for high-performance ML kernels (e.g., TVM, Halide, or Ansor), or experience with other hardware-aware scheduling techniques., • Familiarity with hardware architectures and their optimization implications, including memory hierarchies, systolic arrays, DMA engines, and GPU-style parallelism., • Demonstrated fluency with modern AI tools and workflows (e.g., leveraging AI assistants for research, analysis, or productivity)., • If you can do the above, you already have strong C++ and python skills, • BS/MS/PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience), • Strong interpersonal, verbal and written communications skills, • Capability to achieve objectives under tight deadlines, • Experience executing tasks while managing competing priorities, • Practical knowledge working with large code bases, • Experience writing and debugging multithreaded programs, • Deep understanding of technology and passion for what you do, • Strong teamwork, specifically a proven ability to effectively guide and influence within a dynamic matrix environment, • Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment. Benefits • Competitive salary and benefits package., • Flexible PTO, • 401k Please note: Our organization does not accept unsolicited candidate submissions from external recruiters or agencies. Any such submissions, regardless of form (including but not limited to email, direct messaging, or social media), shall be deemed voluntary and shall not create any express or implied obligation on the part of the organization to pay any fees, commissions, or other compensation. Direct contact of employees, officers, or board members regarding employment opportunities is strictly prohibited and will not receive a response.

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. At the Technology Enabling Development Lab (TED), our core development focus is the host interface firmware layer that sits in the intersection of system software and flash management firmware. This key host interface firmware technology drives Samsung's breakthrough V-NAND technology and enables our customers to power performance-oriented, demanding, enterprise-class applications ranging from hyper-scale data centers, to big data processing, to software defined virtualized storage arrays and infrastructures. We are building the next generation of NAND/SSD storage systems designed for the demands of large-scale AI. As the compute cost of transformer inference falls, the bottleneck is shifting to how quickly and efficiently we can move model weights, KV cache, and activations through the storage hierarchy - and NAND flash and SSDs are increasingly the tier where that data lives. Our focus is on making SSDs first-class citizens in the AI data path, from the NAND media and flash-translation layer up through NVMe and networked storage. We are looking for a Sr Staff Engineer who lives at the intersection of AI inference systems and storage/systems software. This is a hands-on technical leadership role: you will characterize real AI workloads, translate what you learn into architecture, and drive that direction across inference, platform, and hardware teams. This is a rare seat for someone who is equally comfortable reading a transformer serving stack and a Linux block-layer trace. What You'll Do • Own AI workload characterization. Profile production and emerging LLM inference, RAG, and training workloads to quantify their I/O, bandwidth, latency, and capacity demands, and turn those findings into concrete storage and memory-hierarchy design decisions., • Identify optimal data placement. Analyze workload access patterns to determine how data should be placed and separated on flash, and map those insights onto SSD data-placement technologies such as NVMe Flexible Data Placement (FDP) and streams to reduce write amplification and improve endurance, latency, and QoS., • Collaborate with key customers to identify differentiating SSD capabilities for AI workloads, and develop proof-of-concept implementations as part of those customer engagements - turning workload insights into demonstrable data-path, tiering, and data-placement wins., • Lead deep-dive performance analysis spanning the inference runtime, the Linux storage and networking stack, and the underlying hardware, tuning for latency, throughput, cost, and GPU utilization., • Build and evaluate transactional and system-level models of proposed architectures to de-risk decisions before hardware exists, and validate them against measured behavior., • Engage with the standards and open ecosystem - SNIA (including Storage.AI), MLCommons/MLPerf, and the open inference stack - to align our work with where the industry is heading and to shape it where we can., • Set technical direction others build on. Make build-vs-buy and architectural calls, establish benchmarking methodology and best practices, and mentor engineers across the org., • Partner cross-functionally with product, hardware, and research teams, and with external vendors and partners, to bring architectures from concept to deployment. What You Bring • Bachelor's degree 15+ years relevant industry experience or Master's degree 13+ years' experience or PhD with 10+ years relevant industry experience., • Extensive experience (typically 10–15+ years) in systems, storage, or ML-systems software, with a track record of architecting systems that materially improved performance, reliability, or cost., • Demonstrated technical leadership and cross-team influence: setting direction, driving decisions across organizational boundaries, and mentoring senior engineers., • Working knowledge of modern AI inference, especially transformer architectures - attention, KV cache, batching, and the memory/compute trade-offs of serving large models., • Deep systems-level understanding of the Linux storage stack (block layer, I/O scheduling, NVMe) and of NAND/SSD internals (flash-translation layer, garbage collection, endurance/write-amplification, latency behavior), plus hands-on performance analysis skill (e.g., perf, ftrace, eBPF, blktrace, fio)., • Fluency in Python plus a systems language (C/C++, Rust, or Go)., • MS or PhD in Computer Science, Electrical/Computer Engineering, or a related field preferred - or equivalent practical experience. Preferred Qualification • Hands-on experience with the modern inference stack: vLLM, SGLang, LMCache, NVIDIA Dynamo, TensorRT-LLM, or Triton., • Familiarity with GPU-adjacent data movement and memory frameworks: NIXL, DOCA / DOCA MemOps, GPUDirect Storage, RDMA, NVMe-oF, and BlueField / DPU offload., • Understanding of GPU and TPU architecture (memory hierarchy, interconnects, and how accelerator design shapes I/O and data-movement demands) is highly desired., • Experience with user-mode storage access frameworks: SPDK, uNVMe, libvfn, or similar., • SSD firmware experience - flash-translation layer, wear-leveling and garbage-collection algorithms, and data-placement features such as FDP / streams / ZNS - ideally paired with the ability to co-design firmware and host-side placement policy from workload characterization., • AI-workload characterization and benchmarking experience, and familiarity with SNIA Storage.AI and MLCommons / MLPerf., • Transactional / discrete-event or system-level modeling experience in frameworks such as SystemC, SimPy, or similar., • Experience with SSD architecture and interfaces - NVMe (including ZNS, Flexible Data Placement / FDP), open-channel SSDs, computational storage - and with PCIe Gen5, CXL, and large-scale GPU-cluster storage (VAST, WEKA, Lustre, Ceph). #LI-VL1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, caregiver support, and medical travel support. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $189,000—$301,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/

Job Description Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team. Position details Title of position: Senior Software Engineer Position type: Full time Location: Seattle, WA / San Jose, CA Position reports to: Director of SW Systems Engineering Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled. Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time Scope: Are you energized by the opportunity to shape the future of intelligent networking, generative AI, and autonomous agentic systems? Do you want to help build highly scalable systems that process real-time network data, power intelligent experiences, and enable AI agents to reason, remember, plan, collaborate, use tools, and safely take action on behalf of users? Do you aspire to create global impact while tackling challenges at the intersection of networking, AI, distributed systems, cloud platforms, security, and real-time data processing? Then come advance with us. About the position This is an incredible opportunity to work at the forefront of intelligent networking, agentic automation, cloud-native platforms, and real-time distributed systems. You will help lead the development of core platforms and services that process large volumes of network and operational data and power AI experiences across Extreme. These systems must be scalable, secure, reliable, observable, adaptable, and safe for enterprise use cases. There has never been a better time to join Extreme. Following several acquisitions that have expanded our portfolio and go-to-market strategy, we are seeing tremendous opportunity and growth across regions. In addition to being recognized as a Technology Leader in the Gartner Magic Quadrant, we actively promote an internal culture that truly embraces diversity. Our motto at Extreme is “Advance with us,” and it applies to everyone we work with, both inside and outside the company. Our group is responsible for developing core platforms and services spanning networking, agentic AI, distributed data processing, real-time analytics, and intelligent automation. These capabilities positively impact multiple existing Extreme flagship products as well as new company offerings. We are spearheading a fundamental shift in how businesses operate and manage their wired and wireless networks by building high-performance, real-time systems that can process massive volumes of network data, derive actionable insights, and enable intelligent agents to assist users or act on their behalf. As part of this group, you will continuously experiment with emerging technologies, create best-in-class networking experiences, and launch state-of-the-art software, data, and AI solutions. Basic Qualifications: • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience., • 4+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations., • 4+ years of programming experience, with proficiency in at least one general-purpose programming language, preferably Python, Java, Go, or C++., • 3+ years of experience leading the design and architecture of large-scale distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud., • Experience in one or more of the following areas: real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics., • Experience designing systems that process high-volume, high-velocity data with stringent requirements for scalability, availability, latency, and operational reliability., • Experience mentoring engineers, serving as a technical lead, or leading an engineering team., • Demonstrated ability to tackle highly complex, ambiguous, or undefined technical problems and translate them into pragmatic, production-ready solutions.Preferred Qualifications:, • Master’s or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline, or equivalent practical experience., • Experience building highly scalable, event-driven microservices and processing large volumes of real-time operational or network data., • Experience building generative AI or agentic systems, including tool use, planning, memory, retrieval, orchestration, evaluation, and production deployment., • Experience developing networking, network management, observability, telemetry, cloud infrastructure, or distributed control-plane systems., • Experience with distributed data and processing technologies such as Kafka, Spark, Flink, PySpark, MapReduce, or comparable technologies., • Experience working with large-scale, real-world datasets and building reliable production systems that translate data into actionable insights or automated outcomes. Come work with a team of highly talented engineers and advance with us as we build the next generation of intelligent networking systems. • Salary based on qualifications, experience and region up to USD 220 k to 250K plus benefits.Equal Employment Opportunity, • Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans., • Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.Fair chance and background checks, • Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken., • Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care. We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges. GRAIL is headquartered in the Bay Area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit grail.com The Director, Regulatory Affairs - Advertising, Promotional and Labeling provides strategic leadership and operational compliance for the company’s product messaging. The Director serves as a senior regulatory subject-matter expert and strategic business partner, who leads cross-functional teams in developing promotional materials to ensure compliance with global regulatory markets, while capturing potential regulatory risks. This role will also partner with executive leadership to guide regulatory strategy for GRAIL’s portfolio and drive business critical decisions. This is a hybrid role based in Sunnyvale, CA. Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with the team and business needs and could exceed the 40% requirement for the site. Responsibilities: Provide cross-functional leadership and representation for Regulatory Affairs on the Promotional Materials Review Committee, ensuring all promotional materials are compliant with regulatory requirements while shaping and aligning with overarching corporate and portfolio strategies Experience leading or supporting product promotion and launches is preferred. Define and shape innovative, compliant regulatory strategies and solutions for highly complex and business-critical promotional concepts, enabling business objectives while proactively mitigating regulatory risk across the portfolio Lead the oversight and evaluation of product claims to ensure scientifically robust and compliant messaging Establish and advance the strategic framework for the advertising and promotion process through developing SOPs to drive continuous improvement, governance, and operational compliance across the organization Influence and drive alignment with senior leadership, building consensus and shaping decisions to balance business objectives with regulatory requirements Demonstrated ability to lead and foster a culture of continuous learning and process improvement across the organization Exceptional communication and influencing skills As the organization evolves, the employee must be adaptable to taking on additional responsibilities, new technologies, or cross-functional projects to meet changing business needs Adaptability and Growth Expectation As our organization continues to evolve and grow, this role may require flexibility in responsibilities and duties. Employees should expect that their role may expand, shift, or be modified to meet changing business needs, strategic priorities, and organizational objectives. This may include: Taking on additional responsibilities. Participating in cross functional projects and initiatives. Adapting to new technologies, processes, or methodologies. Supporting other departments or teams during periods of high demand. Contributing to special projects or temporary assignments as needed. These job duties are a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at the company's discretion. Required Qualifications: Advanced degree in molecular biology, genomics, or diagnostics; PhD preferred. 15+ years of relevant regulatory affairs or related industry experience; Master's degree with 12+ years, or PhD with 8+ years Prior regulatory affairs experience in medical devices, clinical laboratory and/or diagnostics Proven record of success leading cross-functional teams to resolve highly complex promotional regulatory challenges, driving innovative, compliant solutions across the portfolio Demonstrated level of knowledge of global regulations, guidances, and standards, particularly around advertising and promotion Preferred Qualifications: • Exceptional leadership skills, with the ability to inspire, align, and influence at all organizational levels. Strong strategic foresight with the ability to anticipate regulatory and policy shifts and align company direction. Excellent communication, negotiation, and executive presentation skills. Proven ability to lead complex programs and drive portfolio-level decision-making. Advanced proficiency with regulatory systems, submission tools (e.g., eCTD), and enterprise compliance platforms. Commitment to developing talent and building long-term organizational capability. The expected, full-time, annual base pay scale for this position is $189K - $271K. Actual base pay will consider skills, experience, and location. At GRAIL, we believe in recognizing and rewarding the contributions our employees make to our mission and success. In addition to base pay, this role may be eligible for additional compensation, including an annual bonus and/or other incentives, in accordance with applicable plans and the company's discretion. The posted range reflects our good-faith estimate of the base pay we expect to offer for this position at the time of hire. Actual compensation will be determined based on factors such as the candidate’s experience, skills, qualifications, and other relevant considerations. At GRAIL, we invest in the health, well-being, and future of our employees and their families. Employees in this role are eligible for a comprehensive and competitive benefits package designed to support what matters most, including flexible time off or vacation, a 401(k) retirement plan with employer match, medical, dental, and vision coverage, and thoughtfully selected well-being programs. Benefits are offered in accordance with applicable plans and policies. GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at rc@grailbio.com if you require an accommodation to apply for an open position. GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

Job DescriptionPrincipal AI Inference Systems Software Architect Job Title: Principal AI Inference Systems Software Architect Location: San Jose, CA or Irvine, CA Compensation: $250K - $300K base plus equity Requirements: LLM Inference, AI Runtime Architecture, KV Cache Management, Distributed Inference, Memory Systems Architecture, CXL, Hardware/Software Co-Design, AI Infrastructure, GPU Performance Optimization Company Brief We are a leading provider of high-performance modular memory subsystems and next-generation storage-class memory solutions. We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and enterprise infrastructure. Our product portfolio includes DDR4/DDR5 DIMMs, NAND-based SSDs, and advanced interconnect technologies such as CXL and PCIe. Join our world-class engineering team and be part of shaping the future of memory and storage architecture. Role This is a highly technical role for an individual who deeply understands AI data center and edge AI inference workloads, model execution, systems software, memory management, and hardware/software co-design. The successful candidate will work closely with the Chief AI Systems Architect, AI Product Strategist, AI Hardware / Memory Systems Architect, and R&D engineering teams to understand how AI workloads execute on current infrastructure, identify software bottlenecks, and architect software that enables new hardware and memory technologies to deliver measurable customer value. We are particularly interested in investigating opportunities involving AI workload, software stack, and inference runtime usage of the hardware to deliver the required performance and efficiency. Key Responsibilities • Analyze and optimize AI inference workloads including LLMs, GenAI, Agentic AI, RAG, MoE, multimodal, and edge AI., • Architect AI runtime and systems software for efficient utilization of compute, memory, and accelerator resources., • Design software for advanced memory architectures, including HBM, DDR, CXL, memory pooling, disaggregated memory, and KV-cache management., • Collaborate with hardware architects on CXL, memory systems, AI accelerators, compression engines, and near-memory computing technologies., • Develop performance optimization strategies focused on throughput, latency, memory efficiency, power, and total cost of ownership., • Define software architectures enabling practical deployment of CXL-based memory expansion, pooling, and disaggregation., • Build prototypes, performance models, benchmarks, and emulation environments to validate new architectural concepts before silicon availability. Required Qualifications • BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (PhD preferred)., • 10+ years of experience in systems software, AI infrastructure, computer architecture, inference systems, runtimes, or compilers., • Deep expertise in AI/ML inference workloads and large-scale AI systems., • Strong programming skills in C/C++ and/or Python., • Strong understanding of computer architecture, operating systems, memory systems, and data movement., • Experience translating AI workload requirements into scalable system architectures., • Expertise in performance analysis, modeling, and benchmarking. Preferred Experience • LLM inference, transformers, KV-cache optimization, vLLM, PyTorch, CUDA, Triton, TensorRT, ROCm., • Quantization, FlashAttention, speculative decoding, distributed inference, and MoE architectures., • GPU systems, AI accelerators, HBM, DDR, CXL, NUMA, and memory disaggregation., • Hardware/software co-design for AI infrastructure and data center systems. #Enghp Benefits • Vacation/PTO, • Medical, • Dental, • Vision, • Equity, • 401k w/ match, • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 10/16/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a fundamental role in establishing our scientific and technical directions toward the development of emergent capabilities within Foundation Models. The role involves pioneering novel approaches within Reinforcement Learning to facilitate paradigm shifts in foundation modeling. The role involves prototyping and adapting novel approaches to learning from experience, contributing to large-scale RL training infrastructure, and produce replicable code for public release. You will also be expected to build and maintain a productive research portfolio, supported by internal and external collaborations. Key Responsibilities Develop novel research toward massive scale self-play for foundation model training, agentic tasks, and imbuing models with the capability to proactively learn from its environment. Initiate and pursue novel reinforcement learning algorithmic approaches to define and drive emergent capabilities in Foundation Models. Full-stack engineering from data curation, model architecture and algorithm design, to final production of models for end-users using high quality (documented, tested, maintainable) code. Contribute to technical reports and research publications. Represent MBZUAI at industry conferences and events, showcasing the institution’s technology and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation. Proactively engage with the open-source community. Contribute to large-scale reinforcement learning training and inference frameworks. Facilitate internal and external collaboration Academic Qualifications MSc/MEng or PhD Degree (or equivalent experience) in Machine Learning, Computer Science or related fields. Professional Experience Minimum 3+ years of hands-on experience with reinforcement learning Demonstrated ability to independently identify limitations of current practice (internal and external), formulate and enact solution strategies for improvement. Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision. Strong Python development skills with a focus on research-grade code and scalable data pipelines. Practical experience implementing complex mathematical concepts into reliable, well-documented code. Experience applying novel RL algorithms to practical applications. Strong experience contributing to academic and/or open-source research through publication, GitHub contributions, or professional presentations. Strong communication and collaboration skills for effective cross-functional work. Preferred Qualifications Strong systems and engineering expertise in deep learning frameworks such as PyTorch, Jax, etc. Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. Familiarity with current RL+LLM training libraries Experience training policies in self-play, possibly demonstrated by publication, blog post, public code. Experience working with Diffusion Models in RL, possibly demonstrated by publication, blog post, public code. Strong publication record in leading AI and RL venues (e.g.ICLR, ICML, NeurIPS, RLC, JMLR, TMLR) Familiarity with performance constraints in production environments and the trade-offs in model design and execution. Prior contributions to open-source ML research or data tools. Demonstrated ability to solve complex system-level challenges and debug failures across training/inference stack (e.g. memory issues, deadlocks, I/O bottlenecks, multi-node communication failures). Salary Range The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About DataVisor DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Position Overview We are looking for a Senior-Level Data Scientist to join our Fraud Detection team — someone equally comfortable building production ML models and getting hands-on with individual fraud cases. This is a dual-track role: you'll develop the machine learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level findings into trend reports and detection improvements. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real, visible impact in the fight against fraud. Key Responsibilities Machine Learning & Model Development • End-to-End Model Development: Lead the full lifecycle of fraud detection features and models, from ideation and data exploration to prototyping, productionizing, and monitoring., • Advanced Feature Engineering: Develop highly predictive features from complex, large-scale, multi-dimensional data, including user behavior, device intelligence, network graphs, and transaction records., • Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform., • Agentic AI & Automation: Leverage agentic AI to automate analytic pipelines and develop reusable skill tools that accelerate fraud investigation, feature generation, and reporting workflows. Live Fraud Investigation & Reporting • Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces. Reconstruct attacker sequences and hypothesize actor intent and tooling., • Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders., • Generate fraud trend reports for customers, synthesizing case-level findings and aggregate data into narratives customers can act on. Requirements Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field. • 3+ years of applied experience in fraud detection, cybersecurity, or a related adversarial/high-velocity risk domain (fintech, consumer payments, banking, SaaS, marketplace risk, or security research)., • Solid understanding of both classic machine learning models (Logistic Regression, Gradient Boosting, etc.)., • Hands-on experience with the machine learning lifecycle in a production environment., • Investigator mindset: demonstrated skill in pattern synthesis, hypothesis testing, and triaging signal from noise in ambiguous, adversarial cases — not just building and monitoring models., • Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus., • Experience with large-scale data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azure)., • Excellent communication skills — able to explain complex, ambiguous, or technical behavior clearly to both technical and non-technical audiences, including customers and executives., • Professional proficiency in written and spoken English, with the ability to collaborate effectively in a global, cross-functional team. Benefits • Base salary range: $140,000–$170,000, commensurate with experience., • PTO, Stock Options, Health Benefits

Job Description Our mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users. We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others. THE ROLE As part of a small and dynamic team, you'll play a pivotal role in developing imaging technology for camera capture while creating augmented reality experiences that enhance human perception. The scope of these projects will encompass camera color processing, developing features related to human color perception, and prototyping with tools like Unity/Blender for object rendering. WHAT YOU'LL DO • Develop perceptual features that enhance MR/AR realism by modeling human vision and color perception, • Research and develop computer vision and machine learning algorithms for photographic imaging processing, • Build platforms for objective and subjective evaluation of virtual object rendering using psychophysical methods, • Design and implement real-time display color processing pipelines leveraging GPU, CPU/MCU, or hardware-accelerated resources., • Prototype MR/AR demos using Python, MATLAB, Blender, Unity, and C#, • Research and develop computer vision and machine learning algorithms for ambient light estimation and photorealistic object rendering, • Work with cross-functional teams and provide leadership and expertise for new project development and productizationWHO YOU ARE, • MS/PhD degree in Computer Science, Imaging Science, Image Processing, Computer Vision, or related fields, • Background in image processing and computer vision, • Proficient in programming languages such as Python and C++, • Experience with 3D tools such as Unity, Blender and Maya*, • Hands-on experience in camera or display pipelines for embedded systems, mobile devices, or Android platforms., • Strong background in user experience, machine learning, computer vision, VR & AR, • Strong communication skills for working with cross-functional teams, • Understanding of light sensor, image sensor, camera and display hardware systems*, • Experience in 3D computer graphics, lighting and shading*, • Proof of eligibility to work in the United StatesCOMPENSATION & BENEFITS, • The annual compensation includes equity (per qualifications), • The annual salary range for this position is $125,000 to $150,000 plus equity (per qualifications), • The base pay offered will take into account internal parity, job-related knowledge, skills, and experience among other factors, • Health Insurance - Medical, Dental, Vision and Life Insurance, • Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more, • Flexible working environment and more!ADDITIONAL INFO DigitalFish is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined to ensure that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. DigitalFish may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey. DigitalFish is not able to sponsor immigration petitions for this role at this time. All applicants must have the right to work in the United States. We look forward to hearing from you! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence. If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about Our Corporate Venture team, NexBreak Venture, is seeking a Growth Engineer Intern to ideate, validate, and launch AI-native products from concept to early traction, with a specific focus on engineering the growth mechanics that turn a prototype into a scalable business. Roles and Responsibilities: • This is a 0→1 builder position for someone who can code growth loops, instrument experiments, and drive measurable traction, not just recommend it., • Design, build, and ship technical growth mechanisms: acquisition funnels, onboarding flows, referral/viral loops, activation triggers, and monetization experiments., • Stand up lightweight analytics and experimentation infrastructure (tracking, A/B testing, cohort analysis) to measure what's working and iterate fast., • Rapidly prototype and test growth hypotheses across new AI products, then hand off winning mechanics to product teams. Must have: • BS, MS, or PhD in Computer Science, Engineering, or related field from a top-tier university. MBA a plus, not required., • Strong, hands-on coding ability (able to build and ship, not just spec) — Python/SQL/JS or similar, plus familiarity with growth/analytics tooling., • 3+ years of experience in growth engineering, software engineering, or a technical product/growth/GTM/monetization role., • Founder's mindset, builder's mentality, and strong problem-solving skills., • Excellent communication and executive presence — able to turn experiment data into a clear recommendation for decision-makers. Bonus point: • Passion for innovative technologies and artificial intelligence, with a strong pulse on key trends, themes and playersHourly Pay: $40- $60 The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process. Annual Base Pay Range $40—$60 USD CPRA Privacy Notice for California Candidates

Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking a highly motivated Senior Staff AI Engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. In this role, you will be responsible for the high-quality implementation of an Agentic Framework to support our AI applications. You will be responsible for writing the production-grade code that allows our AI applications to interact with millions of vehicles in real-time. We need a "builder" who thrives on the technical details of multi-agent orchestration, tool-calling optimisation, and LLM security. You will translate architectural designs into executable, high-performance systems, taking full ownership of the development lifecycle from local prototyping to global cloud deployment. This is a hands-on role for an engineer who prioritises execution, code quality, and system reliability for multi-agent systems, AI technologies, and platforms. Responsibilities: • Lead efforts to leverage existing AI models and frameworks to solve complex business challenges., • Develop agentic orchestration by designing and implementing reason and act loops that allow AI agents to decompose complex goals into actionable sub-tasks., • Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts, • Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution, • Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth)., • Strong domain expertise in the AI area, including LLMs, Time Series, RAG, fine-tuning large models, traditional ML models, etc. (AI depth), • Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art), • Perform data analysis and offer insights to inform business decisions across multiple domains., • Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information., • Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions., • Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations., • Take charge of projects, ensuring timely completion in a dynamic work environment.Qualifications:, • Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required., • Strong programming skills in languages such as Golang, Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn)., • Proven experience building multi-agent systems and frameworks with adaptive orchestration, • Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments, • In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms., • Solid experience in data preprocessing, feature engineering, and model evaluation techniques., • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus., • Strong knowledge of software development best practices, version control systems, and agile methodologies., • Results-driven with a positive can-do attitude and excellent problem-solving skills., • Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams., • Experience in the automotive industry is highly desirable. Benefits Offered: • Competitive compensation and equity program, • Health care plan (Medical, Dental & Vision), • Flexible and Dependent Care Expense program, • Retirement plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Unlimited paid time off per year, 15 paid holidays, • Hybrid office work arrangement/flexibility Perk Offerings include: • Complimentary lunches, snacks, and beverages during on-site working days, • Wellness benefit allowances (towards gym membership and fitness programs), • Internet reimbursement, • Computer Accessory Allowance Employee Engagement Offerings: • Departmental team building and outings, • Employee Referral Program, • Culture/Employee Satisfaction Surveys - Feedback matters! The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,500—$300,000 USD

Job Description Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the world's first light eVTOL to fly manned missions and enter the consumer market. Efficient, compact, and simple, Pivotal aircraft are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been flying for over 10 years. Last year we announced our next-generation aircraft, the Helix, which is rapidly progressing toward general release and scalable production in 2026. Mobility is one of the most highly-valued areas of modern technology investments. This is the right company, in the right space, the right strategy, at the right time. If you are ready for adventure, we invite you to join our amazing team and grow with us. The Autonomy team at Pivotal develops advanced autonomy capabilities for our aircraft, enabling safe, precise, and reliable mission execution from takeoff to landing. We are seeking a autonomy robotics Engineer to support the development of next-generation perception systems for our autonomous aerial platforms, including the Helix family of systems. About the Role The Autonomy team develops advanced autonomous capabilities for our aerial platforms, enabling safe and intelligent mission execution from takeoff to landing. We are seeking an Autonomy Robotics Engineer to design, develop, and deploy navigation, planning, and decision-making systems that operate reliably in dynamic and uncertain environments. You will collaborate with perception, GNC, flight software, and hardware teams across the full autonomy stack — from simulation and algorithm development to flight testing and deployment on operational aircraft. The ideal candidate combines strong robotics fundamentals with hands-on experience building and deploying autonomous systems on real-world robotic platforms. Experience with autonomous drones, PX4, and eVTOL aircraft is highly desirable. Responsibilities Autonomy & Path Planning Design and develop autonomous navigation and mission planning systems for aerial robotic platforms. Develop trajectory generation, path planning, and obstacle avoidance algorithms for dynamic environments. Implement behavior planning, mission management, and autonomous decision-making frameworks. Develop autonomous capabilities for waypoint navigation, target tracking, landing, and mission execution. Evaluate and integrate state-of-the-art robotics and autonomy algorithms into operational systems. Software Development • Develop production-quality software for autonomous robotic systems. Implement autonomy algorithms in real-time embedded and Linux-based environments. Optimize autonomy software for performance, reliability, and deployment on resource-constrained platforms. Contribute to software reviews, testing frameworks, and continuous integration processes. Hardware Integration & Flight Testing Integrate autonomy software with flight controllers, onboard computers, sensors, and communication systems. Support hardware bring-up, system integration, and debugging activities. Conduct software-in-the-loop (SITL), hardware-in-the-loop (HITL), and flight testing. Analyze flight test data and identify opportunities to improve autonomy performance. Collaborate with hardware and flight operations teams to support deployment and field testing. Education • Bachelor’s degree in Robotics, Computer Science, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field. Experience, • 2+ years of industry experience in robotics, autonomous systems, aerospace, or related fields. Strong proficiency in C++ and Python. Experience developing autonomy, navigation, or robotic control systems. Strong understanding of motion planning, path planning, and autonomous decision-making algorithms. Experience with robotics middleware such as ROS or ROS2. Experience developing software in Linux environments. Hands-on experience integrating software with robotic hardware systems and sensors. Experience with simulation and testing frameworks for autonomous systems. Experience with MATLAB and Simulink for algorithm development, modeling, and simulation. Preferred Qualifications Master's degree or PhD in Robotics, Aerospace Engineering, Computer Science, or a related field. Experience with autonomous aircraft, UAVs, drones, or eVTOL systems. Experience with PX4, ArduPilot, or similar autopilot frameworks. Experience developing autonomy for multicopters, VTOL aircraft, or fixed-wing platforms. Knowledge of state estimation, localization, SLAM, and sensor fusion techniques. Experience with trajectory optimization, model predictive control (MPC), or advanced planning algorithms. Experience with NVIDIA Jetson, embedded Linux systems, or edge computing platforms. Familiarity with Gazebo, Isaac Sim, AirSim, or other robotics simulation environments. Experience supporting flight testing and operational deployments. Why Pivotal At Pivotal, you'll work on some of the most challenging problems in autonomy, perception, and intelligent aircraft systems. You'll have the opportunity to develop technologies that move rapidly from concept to flight testing and deployment, working alongside a multidisciplinary team of engineers pushing the boundaries of autonomous aviation. Attributes aligned with Core Values • Safety Above All: Demonstrates a proactive safety mindset by embedding safety into daily work, identifying and mitigating risks, encouraging open dialogue about safety concerns, and continuously improving practices and protocols., • Customer Focus: Puts customers at the center of every action by understanding their challenges, delivering meaningful value, and supporting their success., • Work Better Together: Seeks and values diverse perspectives, builds cross-functional relationships, and fosters trust through empathetic, fact-based communication and commitment to shared decisions., • Be the Pilot: Drives results with clarity and purpose by focusing on what matters most, adapting to change, taking initiative, and owning outcomes., • Embrace the Unknown: Navigates ambiguity with resilience and bold thinking, challenges the status quo, and combines innovative ideas with practical approaches to overcome obstacles and drive progress., • Respect for People: Fosters a high-performance culture grounded in respect, professionalism, and support by balancing high expectations with a healthy, collaborative environment and being a trusted, dependable teammate. Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA. Pivotal offers a comprehensive benefits package, including medical, dental, vision, and 401k plans. Pivotal is an Equal Opportunity Employer. Pivotal does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. Memory IO Lab is part of Samsung's Memory Business Unit, the industry's all-time DRAM and NAND Flash leader both in technology as well as in volume. Memory IO's vision is to provide memory interface technology solutions which can be adopted in HBM, DDR, LPDDR, GDDR, and more. We are an integral part of Samsung's paramount R&D innovation engine. We work closely with cross-disciplinary development teams to bring feature innovation to product roadmaps. Come and join the team that is providing the next generation IO tech solutions to support emerging machine learning applications, data analytics, and edge computing. Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy What You'll Do • Hands on in analog circuit design, which includes circuit design, running simulations to confirm functionality and performance, and work with verification team to verify design. The mixed-signal designs will include but are not limited to the following: high-speed data converters, PLL, and SERDES., • Guide layout floor-planning block and top level to optimize the overall performance; supervise the layout activities and give concise guidelines to layout engineers, need to be hands on in drawing layout if necessary., • Ownership of circuit and system specifications., • Simulate designs with state-of-the-art CAD tools., • Document designs and simulation results. What You Bring • BS 10+ years experience, MS 8+years of experience, PhD 5+ years experience in Electrical Engineering, Computer Science preferred., • 5+ years of experience working with system on chip architecture, high-speed serial interfaces, analog and mixed-signal circuit designs using advanced CMOS technology nodes., • Prior experience in design of any one of the standard high speed interfaces like DDR, LPDDR, , GDDR, HBM I/O interface., • Needs to be an expert in providing and understanding layout requirements of high speed circuits., • Knowledge of all facets of high speed I/O design but specifically should include DLL / PLL / FFE / CTLE / DFE, output drivers , ODT, Duty cycle correction (DCC), Training/calibration to improve timing, high speed power design and low power design., • Experience working closely with device/process team to define transistor specs, • The ideal individual must have proven ability to achieve results in a fast moving, dynamic environment., • Ability to troubleshoot and analyze complex problems., • Excellent communication (written and verbal) and interpersonal skills, • Experience in high frequency clock distribution design, implementation, and analysis., • Deep understanding of PPA (performance, power, and area) trade-offs., • Ability to handle EDA tools well, such as Cadence, MATLAB (Simulink), and EM tools, • Experience on silicon bring-up and automatic measurement using script, • Strong scripting and automation skills using Tcl/Perl. Knowledge of Python is a plus., • Self-motivated problem-solver with an ability to work well in a team., • You're inclusive, adapting your style to the situation and diverse global norms of our people., • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding., • You're collaborative, building relationships, humbly offering support and openly welcoming approaches, • Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-SF1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, caregiver support, and medical travel support. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $163,000—$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/

Job Description At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. This is a paid 12-week internship opportunity and is a hybrid, in-office role. Here’s a glimpse into the Internship experience from some of our TRI interns! At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Human-Centered AI, Large Behavior Models, Robotics, Automated Driving, Energy & Materials and Human Interactive Driving. The Team This internship opportunity falls within the Adaptive Behavior Systems team of Human-Centered AI Division (HCAI). We are an integrated team of ML researchers and social and behavior scientists. At the core of our work, we aim to enable decisions through human-centered AI that advance collective well-being for people and the planet. The Internship We are seeking a highly motivated and talented PhD research intern to join our adaptive behavior systems team to push the boundaries of causal reasoning in LLMs. The intern will collaborate with our interdisciplinary team of machine learning, behavioral, and social scientists to study how well language-based generative machine learning models can reason causally and to develop methods for testing and improving causal reasoning. The project will be focused on researching in a specific sub-area of the overall goal, towards publication in a top-tier venue. The intern will further engage in strategy discussions about how the research connects to business impact at Toyota. This is a Winter 2027 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. Responsibilities • Perform research and publish in a relevant venue. Publication target venues include NeurIPS, ICML, ICLR, CLeaR, UAI, and COLM, with ACL or EMNLP where the contribution is primarily linguistic, and TMLR as a journal option. Findings may also be presented at ACIC or EuroCIM. The exact topic is to be finalized with the mentor., • Take ownership of the project from project inception and ideation to validation of the developed methods., • Collaborate cross-functionally with researchers in multiple fields to research and develop technology that leverages generative AI to understand human behavior.Qualifications, • Ph.D. student in related fields - AI/ML, computer science, data science, statistics, or related field., • Publication record or demonstrated research experience in causal inference (structural causal models, identification, counterfactual reasoning)., • Hands-on experience with one or more of: LLM evaluation and benchmarking; mechanistic interpretability; and methods for improving LLM reasoning, including prompting and prompt optimization, post-training (supervised fine-tuning or reinforcement learning with verifiable rewards), pretraining, or architectural changes., • Experience with Python programming and DL frameworks like Pytorch., • Interest in human-centered research (e.g. behavioral science, computational social science), including qualitative and/or quantitative methods such as experiments and user studies., • Excellent communication and teamwork skills.Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package including vacation and sick time. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team. Position details Title of position: Principal Software Engineer Position type: Full time Location: Seattle, WA / San Jose, CA Position reports to: Director of SW Systems Engineering Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled. Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time Scope: Are you energized by the opportunity to shape the future of intelligent networking, generative AI, and autonomous agentic systems? Do you want to help build highly scalable systems that process real-time network data, power intelligent experiences, and enable AI agents to reason, remember, plan, collaborate, use tools, and safely take action on behalf of users? Do you aspire to create global impact while tackling challenges at the intersection of networking, AI, distributed systems, cloud platforms, security, and real-time data processing? Then come advance with us. About the position This is an incredible opportunity to work at the forefront of intelligent networking, agentic automation, cloud-native platforms, and real-time distributed systems. You will help lead the development of core platforms and services that process large volumes of network and operational data and power AI experiences across Extreme. These systems must be scalable, secure, reliable, observable, adaptable, and safe for enterprise use cases. There has never been a better time to join Extreme. Following several acquisitions that have expanded our portfolio and go-to-market strategy, we are seeing tremendous opportunity and growth across regions. In addition to being recognized as a Technology Leader in the Gartner Magic Quadrant, we actively promote an internal culture that truly embraces diversity. Our motto at Extreme is “Advance with us,” and it applies to everyone we work with, both inside and outside the company. Our group is responsible for developing core platforms and services spanning networking, agentic AI, distributed data processing, real-time analytics, and intelligent automation. These capabilities positively impact multiple existing Extreme flagship products as well as new company offerings. We are spearheading a fundamental shift in how businesses operate and manage their wired and wireless networks by building high-performance, real-time systems that can process massive volumes of network data, derive actionable insights, and enable intelligent agents to assist users or act on their behalf. As part of this group, you will continuously experiment with emerging technologies, create best-in-class networking experiences, and launch state-of-the-art software, data, and AI solutions. Basic Qualifications: • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience., • 10+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations., • 7+ years of programming experience, with proficiency in at least one general-purpose programming language, preferably Python, Java, Go, or C++., • 5+ years of experience leading the design and architecture of large-scale distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud., • Experience in one or more of the following areas: real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics., • Experience designing systems that process high-volume, high-velocity data with stringent requirements for scalability, availability, latency, and operational reliability., • Experience mentoring engineers, serving as a technical lead, or leading an engineering team., • Demonstrated ability to tackle highly complex, ambiguous, or undefined technical problems and translate them into pragmatic, production-ready solutions.Preferred Qualifications:, • Master’s or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline, or equivalent practical experience., • Experience building highly scalable, event-driven microservices and processing large volumes of real-time operational or network data., • Experience building generative AI or agentic systems, including tool use, planning, memory, retrieval, orchestration, evaluation, and production deployment., • Experience developing networking, network management, observability, telemetry, cloud infrastructure, or distributed control-plane systems., • Experience with distributed data and processing technologies such as Kafka, Spark, Flink, PySpark, MapReduce, or comparable technologies., • Experience working with large-scale, real-world datasets and building reliable production systems that translate data into actionable insights or automated outcomes. Come work with a team of highly talented engineers and advance with us as we build the next generation of intelligent networking systems. • Salary based on qualifications, experience and region up to USD 220 k to 250K plus benefits.Equal Employment Opportunity, • Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans., • Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.Fair chance and background checks, • Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken., • Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation. This role offers a market‑competitive salary with an anticipated base compensation range of 220,000 to 250,000 USD. Actual compensation will depend on the selected candidate’s experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender‑neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance‑based bonus and the full benefits package described below.Benefits and total rewards: Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include: • Medical, dental, and vision insurance, • Flexible work schedules and work-from-home opportunities where role permits, • Paid time off, including open time off in eligible markets and statutory leave in all markets, • Paid holidays in accordance with local practice, • Retirement savings programs, including 401K matching in the United States, • Employee Stock Purchase Program, where eligible, • Adoption assistance and fertility treatment support, where eligible, • Flexible spending accounts, where eligible, • Employee assistance program, • Tuition reimbursement, where eligible, • Life and disability insurance Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team. Position details Title of position: Staff Software Engineer Position type: Full time Location: Seattle, WA / San Jose, CA Position reports to: Director of SW Systems Engineering Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled. Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time Scope: Are you energized by the opportunity to shape the future of intelligent networking, generative AI, and autonomous agentic systems? Do you want to help build highly scalable systems that process real-time network data, power intelligent experiences, and enable AI agents to reason, remember, plan, collaborate, use tools, and safely take action on behalf of users? Do you aspire to create global impact while tackling challenges at the intersection of networking, AI, distributed systems, cloud platforms, security, and real-time data processing? Then come advance with us. About the position This is an incredible opportunity to work at the forefront of intelligent networking, agentic automation, cloud-native platforms, and real-time distributed systems. You will help lead the development of core platforms and services that process large volumes of network and operational data and power AI experiences across Extreme. These systems must be scalable, secure, reliable, observable, adaptable, and safe for enterprise use cases. There has never been a better time to join Extreme. Following several acquisitions that have expanded our portfolio and go-to-market strategy, we are seeing tremendous opportunity and growth across regions. In addition to being recognized as a Technology Leader in the Gartner Magic Quadrant, we actively promote an internal culture that truly embraces diversity. Our motto at Extreme is “Advance with us,” and it applies to everyone we work with, both inside and outside the company. Our group is responsible for developing core platforms and services spanning networking, agentic AI, distributed data processing, real-time analytics, and intelligent automation. These capabilities positively impact multiple existing Extreme flagship products as well as new company offerings. We are spearheading a fundamental shift in how businesses operate and manage their wired and wireless networks by building high-performance, real-time systems that can process massive volumes of network data, derive actionable insights, and enable intelligent agents to assist users or act on their behalf. As part of this group, you will continuously experiment with emerging technologies, create best-in-class networking experiences, and launch state-of-the-art software, data, and AI solutions. Basic Qualifications: • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience., • 8+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations., • 8+ years of programming experience, with proficiency in at least one general-purpose programming language, preferably Python, Java, Go, or C++., • 5+ years of experience leading the design and architecture of large-scale distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud., • Experience in one or more of the following areas: real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics., • Experience designing systems that process high-volume, high-velocity data with stringent requirements for scalability, availability, latency, and operational reliability., • Experience mentoring engineers, serving as a technical lead, or leading an engineering team., • Demonstrated ability to tackle highly complex, ambiguous, or undefined technical problems and translate them into pragmatic, production-ready solutions.Preferred Qualifications:, • Master’s or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline, or equivalent practical experience., • Experience building highly scalable, event-driven microservices and processing large volumes of real-time operational or network data., • Experience building generative AI or agentic systems, including tool use, planning, memory, retrieval, orchestration, evaluation, and production deployment., • Experience developing networking, network management, observability, telemetry, cloud infrastructure, or distributed control-plane systems., • Experience with distributed data and processing technologies such as Kafka, Spark, Flink, PySpark, MapReduce, or comparable technologies., • Experience working with large-scale, real-world datasets and building reliable production systems that translate data into actionable insights or automated outcomes. Come work with a team of highly talented engineers and advance with us as we build the next generation of intelligent networking systems. • Salary based on qualifications, experience and region up to USD 180 k to 210K plus benefits.Equal Employment Opportunity, • Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans., • Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.Fair chance and background checks, • Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken., • Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation. This role offers a market‑competitive salary with an anticipated base compensation range of 190,000 to 220,000 USD. Actual compensation will depend on the selected candidate’s experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender‑neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance‑based bonus and the full benefits package described below.Benefits and total rewards: Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include: • Medical, dental, and vision insurance, • Flexible work schedules and work-from-home opportunities where role permits, • Paid time off, including open time off in eligible markets and statutory leave in all markets, • Paid holidays in accordance with local practice, • Retirement savings programs, including 401K matching in the United States, • Employee Stock Purchase Program, where eligible, • Adoption assistance and fertility treatment support, where eligible, • Flexible spending accounts, where eligible, • Employee assistance program, • Tuition reimbursement, where eligible, • Life and disability insurance Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary In our firmware role, you will help develop firmware for our chips, designed to run large AI models efficiently. You’ll work across the stack—from low-level drivers, hardware interfaces, and system initialization code to integration with runtime libraries and model-execution frameworks. Your work will focus on making the hardware operate reliably and at peak performance, enabling high-throughput inference and training workloads. You’ll collaborate with hardware, architecture, and software teams to bring up new silicon, validate features, and support real-world AI applications. We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns. You may be a good fit if you have Progress towards a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related technical field. Proficiency in C/C++ or Rust Strong fundamentals in data structures and algorithms Strong understanding of low-level software engineering Strong understanding of hardware/software co-design Excellent communication and collaboration skills Strong candidates may also have (Nice to have qualifications) Experience with Linux internals, kernel development, or driver debugging Experience with hardware diagnostics or interpreting hardware logs Exposure to server virtualization or CI/CD pipelines Experience with Rust or embedded development We encourage you to apply even if you do not believe you meet every qualification. Program details 12-week paid internship Generous housing support for those relocating Daily lunch and dinner in our office Based at our office in San Jose, CA Direct mentorship from industry leaders and world-class engineers Opportunity to work on one of the most important problems of our time For any questions, contact internships@etched.com How we’re different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Job Description About Knightscope Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force — autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force. About the Role In this role, you will own the full perception stack for our autonomous security robot platform, from raw LiDAR, camera, and thermal sensor data through 3D object detection, scene understanding, and persistent entity tracking. You will be a technical lead working across robotics, ML, and systems engineering to ship production-grade perception capabilities that power real-time threat detection, incident correlation, and evidence capture in the field. Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided) Key Responsibilities • Design, train, and deploy 3D perception models, object detection, segmentation, and multi-object tracking, from multi-modal sensor data (LiDAR, camera, thermal, radar) using state-of-the-art BEV and transformer-based architectures., • Own the end-to-end ML pipeline from large-scale data curation and annotation strategy through model training, optimization (TensorRT/CUDA), and real-time onboard deployment on edge compute., • Build persistent cross-sensor identity: the same person, vehicle, or license plate maintains a stable track across camera handoffs, patrol legs, and time, feeding entity correlation and incident generation downstream., • Design and implement evidence-first capture: pre/post-event clips, full-frame and crop media, and structured detection output that is replay-safe and analyst-ready., • Explore and integrate Vision-Language Models (VLMs) to enrich detection outputs with scene narration, anomaly reasoning, and long-tail incident understanding, moving K7 beyond bounding boxes toward analyst-ready scene descriptions., • Drive technical decisions on architecture, data strategy, and roadmap; mentor engineers across the team., • Design and run rigorous offline and closed-loop evaluations; define metrics for safety-critical perception performance across diverse real-world deployment environments. Required Qualifications • 7+ years of hands-on experience at an OEM, AV company, physical security platform, or robotics tech company shipping perception software to production., • Deep expertise in 3D computer vision: LiDAR/camera 3D object detection, point cloud processing, multi-view geometry, and sensor fusion., • Strong ML fundamentals, CNNs, Transformers, multi-task architectures, with production deployment experience (TensorRT, ONNX, CUDA optimization)., • Fluency in C++ (real-time systems) and Python; experience with ROS2 and simulation environments (CARLA, Isaac)., • Production-first mindset demonstrated ability to take models from research to deployed, real-world systems operating under real operational constraints. Preferred Qualifications • Exposure to vision-language models (VLMs): fine-tuning, prompting, or integrating VLM outputs into a perception pipeline for scene understanding or anomaly narration., • Familiarity with Vision-Language-Action (VLA) or end-to-end policy models that map sensor observations directly to robot actions, and interest in applying these to active confirmation and repositioning behaviors., • Experience with ALPR, face recognition, or ReID systems in deployed security or automotive contexts., • Familiarity with evidence integrity, chain-of-custody media, or tamper-evident capture pipelines., • Publications or open-source contributions in 3D CV, embodied AI, or autonomous systems., • MS or PhD in Computer Science, Robotics, Electrical Engineering, or related field. Compensation & Benefits • Base Salary: $240,000 to $275,000 (DOE), • Equity: Stock options, • Benefits: Medical, dental, vision, 401(k), paid time off, • Location Requirement: Full-time, on-site at Sunnyvale HQ

Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are seeking talented Fall '26, Spring '27, and Summer '27 Inference Architecture interns to join our team and contribute to the design of next-generation AI accelerators. This role focuses on developing and optimizing compute architectures that deliver exceptional performance and efficiency for inference workloads. You will work on cutting-edge architectural problems and performance modeling over the course of your internship. Key responsibilities Support porting state-of-the-art models to our architecture. Help build programming abstractions and testing capabilities to rapidly iterate on model porting. Assist in building, enhancing, and scaling our runtime, including multi-node inference, intra-node execution, state management, and robust error handling. Contribute to optimizing routing and communication layers using our collectives. Utilize performance profiling and debugging tools to identify bottlenecks and correctness issues. Develop and leverage a deep understanding of our architecture to co-design both HW instructions and model architecture operations to maximize model performance Implement high-performance software components for the Model Toolkit You may be a good fit if you have Progress towards a Bachelor’s, Master’s, or PhD degree in computer science, computer engineering, applied mathematics, or a related field Proficiency in Python, C++ Understanding of performance-sensitive or complex distributed software systems, e.g. Linux internals, accelerator architectures (e.g. GPUs, TPUs), Compilers, or high-speed interconnects (e.g. NVLink, InfiniBand). Ported applications to non-standard accelerator hardware or hardware platforms. Deep knowledge of transformer model architectures and/or inference serving stacks (vLLM, SGLang, etc.) Strong candidates may have some experience with Proficiency in Rust Low-latency, high-performance applications using both kernel-level and user-space networking stacks. Deep understanding of distributed systems concepts, algorithms, and challenges, including consensus protocols, consistency models, and communication patterns. Solid grasp of Transformer architectures, particularly Mixture-of-Experts (MoE). Built applications with extensive SIMD (Single Instruction, Multiple Data) optimizations for performance-critical paths. Familiarity with PyTorch or JAX. Math competitions (AIME, AMC, etc) We encourage you to apply even if you do not believe you meet every qualification. Program details 12-week paid internship Generous housing support for those relocating Daily lunch and dinner in our office Based at our office in San Jose, CA Direct mentorship from industry leaders and world-class engineers Opportunity to work on one of the most important problems of our time For any questions, contact internships@etched.com. How we’re different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Job Description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: • Design and Implement distributed storage solutions to support scaling data intensive AI workloads., • Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments., • Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency., • Lead efforts to improve the reliability, durability, security, and observability of our storage stack., • Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments., • Set the bar for developing metrics and dashboards to provide visibility into storage performance and health., • Analyze telemetry and system data to drive improvements in throughput, latency, and resilience., • Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack., • Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.Who You Are:, • Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field., • 8–10+ years of experience working in storage systems engineering or infrastructure., • Strong hands-on experience with object storage or distributed filesystems in production environments., • Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar., • Proficiency in a systems programming language such as Go, C, or Rust., • Proficiency leveraging AI tools to augment software development., • Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)., • Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak's AI is only as good as the speed at which we can train it. Every improvement to our models – from GigaFusionNet to large-scale world models – depends on infrastructure that turns thousands of hours of multimodal driving data into training throughput. We are looking for engineers who make model training fast: streaming massive camera, LiDAR, and radar datasets without stalling a single GPU, sharding data and models efficiently across nodes, and extracting every FLOP from the latest hardware. If you measure your impact in tokens per second and GPU utilization, this role is for you. In this role, you will: • Design high-throughput data loading and streaming systems for multimodal sensor data (camera, LiDAR, radar), including dataset formats, sharding strategies, and prefetching pipelines that keep GPUs saturated, • Build and optimize distributed training infrastructure across multi-node GPU clusters, applying data, tensor, pipeline, and fully sharded (FSDP/ZeRO) parallelism to models that don't fit on a single device, • Maximize utilization of modern accelerators such as NVIDIA B200s through mixed-precision training (BF16/FP8), fused kernels, memory optimization, and communication/computation overlap, • Profile end-to-end training pipelines to find and eliminate bottlenecks across storage, network, CPU preprocessing, and GPU compute, • Develop scalable dataset construction pipelines that convert petabytes of raw driving logs into training-ready, streamable formats, • Partner with ML teams to scale new architectures from prototype to full-cluster training runs efficiently and reliablyWhat you'll bring:, • BS, MS, or PhD in Computer Science or a related field, and at least 2-3 years of industry experience in ML systems or infrastructure, • Hands-on experience with distributed training frameworks and techniques (PyTorch DDP/FSDP, DeepSpeed, Megatron, NCCL) and a strong grasp of parallelism trade-offs, • Experience building high-performance data pipelines for large-scale training, including streaming dataset formats (WebDataset, MosaicML Streaming/MDS, or similar), sharding, and storage/network-aware loading, • Deep understanding of GPU performance: mixed precision, memory hierarchy, kernel fusion, profiling tools (Nsight, PyTorch Profiler), and interconnects (NVLink, InfiniBand), • Strong Python skills and proficiency in PyTorch internals; systems-level experience (C++/CUDA/Triton) a plus, • Passion for building the infrastructure that lets AI for the physical world train faster, scale further, and improve continuously What we offer: • Competitive compensation package including equity and annual bonuses, • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits), • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance, • Flexible PTO, 10 paid holidays, and generous parental leave policies, • Our office is centrally located in Mountain View, CA, • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging, • Long Term Disability, Short Term Disability, Life Insurance, • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation), • Fidelity 401(k), • Commuter, FSA, Dependent Care FSA, HSA, • Various incentive programs (referral bonuses, patent bonuses, etc.) The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package California Pay Range $190,000—$260,000 USD At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates. We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](https://endorsed.com/local-law-144). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact careers@kodiak.ai with "Separate Review Request" in the email subject line.

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. Samsung Semiconductor is hiring for an AI Platform Enablement & Emerging Applications Engineer that will lead SSD enablement activities for next-generation AI and compute platforms from major industry partners such as NVIDIA and AMD. This role will own end-to-end platform engagement, including early sample planning, SSD qualification, system validation, issue resolution, and production readiness for new platform launches. As AI infrastructure platforms continue to increase in scale and complexity, the engineer will coordinate closely with customer engineering teams and internal product, firmware, hardware, and validation organizations to ensure successful and timely SSD integration. In addition, the role will identify and incubate emerging AI storage applications and use cases, translating early customer and ecosystem signals into technical evaluations, proof-of-concepts, and future product opportunities. Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy with 10% of domestic travel. Reports to: Principal Engineer, R&D Product Development Planning What You'll Do • AI Platform Enablement: Lead SSD enablement and qualification activities for next-generation NVIDIA, AMD, and other strategic AI/compute platforms from early engineering engagement through production readiness., • NPI Execution: Own SSD sample planning, allocation, qualification schedules, validation milestones, issue tracking, and launch readiness for major platform NPI programs., • Customer Technical Engagement: Serve as the primary technical interface for platform qualification and integration activities, working directly with customer engineering and validation teams., • System Validation & Issue Resolution: Coordinate system-level testing and drive cross-functional resolution of SSD, PCIe/NVMe, firmware, thermal, power, performance, and interoperability issues identified during platform qualification., • Internal Program Coordination: Align product planning, firmware, controller, hardware, validation, quality, FAE, and operations teams to ensure timely delivery of samples, fixes, and qualification requirements., • Platform Requirement Management: Capture and communicate platform-specific requirements, validation criteria, design constraints, and qualification feedback to internal product and engineering organizations., • Emerging Application Incubation: Identify emerging AI storage workloads and applications, evaluate their technical requirements, and drive early feasibility studies, benchmarking, and proof-of-concept activities., • New Opportunity Development: Explore new storage opportunities related to AI inference, KV cache and context storage, memory extension, checkpointing, GPU-direct I/O, agentic AI, and other emerging data-intensive workloads., • Competitive & Ecosystem Analysis: Monitor AI platform evolution, storage architectures, competitor activities, and ecosystem trends to identify potential technology gaps and new product opportunities., • Executive & Program Reporting: Provide clear visibility into platform status, qualification risks, technical issues, customer requirements, and emerging opportunities to internal leadership and cross-functional stakeholders. What You Bring • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field with 10+ years experience or a Master's degree with 8+ years experience or a PhD with 5+ years experience., • Minimum of 5+ years of experience in enterprise SSD, server platform, storage system, semiconductor, or data center infrastructure engineering., • Platform Qualification Experience: Demonstrated experience supporting server, accelerator, or data center platform qualification and NPI programs, including sample management, validation planning, issue tracking, and production readiness., • Storage & Interface Knowledge: Strong technical understanding of enterprise SSDs, PCIe, NVMe, server architecture, firmware, performance, power, thermal behavior, and system-level interoperability., • AI/Data Center Familiarity: Working knowledge of modern AI and hyperscale infrastructure, including GPU-based systems, high-performance networking, PCIe switches/retimers, local NVMe storage, and large-scale server deployments., • System Debugging Experience: Proven ability to investigate and coordinate resolution of complex system-level issues across hardware, firmware, software, and platform boundaries., • Cross-Functional Program Experience: Experience working across engineering, product planning, validation, quality, operations, sales, FAE, and customer organizations., • Communication Skills: Strong written and verbal English communication skills with the ability to communicate technical issues, program status, and recommendations effectively across global teams., • Travel: Ability to travel as needed for customer engagements, platform bring-up, qualification activities, and industry events. Key Competencies • Execution Ownership: Ability to independently drive complex platform enablement programs from early engagement through qualification and production readiness., • System-Level Thinking: Ability to understand SSD behavior within the broader CPU/GPU, PCIe, memory, networking, power, thermal, and software environment., • Technical Problem Solving: Ability to quickly isolate technical issues, identify the appropriate engineering owners, and drive resolution across organizational boundaries., • Program Prioritization: Ability to manage multiple concurrent platform programs, sample demands, qualification schedules, and technical dependencies in a fast-moving environment., • Customer Orientation: Ability to understand customer priorities, anticipate technical and schedule risks, and translate customer requirements into actionable internal plans., • Cross-Functional Leadership: Ability to align global engineering, product, validation, operations, and customer-facing teams without relying solely on formal authority., • Emerging Technology Curiosity: Ability to identify new AI workload and storage trends early, assess their technical relevance, and convert promising concepts into structured incubation activities., • Technical Judgment: Ability to balance performance, qualification risk, schedule, product maturity, and customer requirements when making program and technical recommendations., • Communication & Influence: Ability to clearly communicate technical findings, program risks, priorities, and recommendations to engineers, customers, and senior management. #LI-MD1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $163,000—$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/

Job Description Company Description At PayNearMe, we're on a mission to make paying and getting paid as simple as possible. We build innovative technology that transforms the way businesses and their customers experience payments. Our industry-leading platform, PayXM™, is the first of its kind—designed to manage the entire payment experience from start to finish. Every click, swipe or tap is seamless, fast and secure, helping non-commerce businesses boost customer satisfaction, accelerate payments, and reduce costs. Our single platform handles it all: cards, ACH, digital wallets such as PayPal, Venmo, Cash App Pay, Apple Pay and Google Pay, and even cash at more than 62,000 retail locations nationwide. Today, thousands of businesses across consumer lending, iGaming and online sports betting, property management, and tolling trust PayNearMe to deliver a payment experience that drives real results. In September 2025, we raised a $50 million Series E funding round to accelerate our growth. We're a team of 300+ employees across 41 states, headquartered in Silicon Valley with satellite offices in Dallas, TX and Holmdel, NJ. Join us and be part of a team that's shaping the future of payments—one experience at a time. Responsibilities: We are seeking a strategic and technically accomplished Director, Data Products Engineering to lead the architecture, engineering, and delivery of AI products, data products and scalable data solutions across our fintech and payment processing ecosystem. This leader will drive the company's transition toward a product-centric data operating model by building trusted, reusable, scalable, and business-aligned AI/data products that power analytics, operational intelligence, AI/ML initiatives, customer experiences, regulatory reporting, and enterprise decision-making. The role requires a strong combination of strategic data solution architecture expertise, modern cloud data engineering leadership, and product-thinking. The ideal candidate will lead teams responsible for engineering high-quality AI/data products, designing scalable data architectures, and enabling reliable enterprise data consumption at scale. The current ecosystem includes: About our Stack: • Snowflake, • Dataiku, • dbt, • Fivetran, • Apache Iceberg on Amazon S3, • Looker & LookML, • SQL, Python, • AWS, • MySQL, PostgreSQL, • Gitlab, • Monte Carlo, • Terraform, OpenTofu, • RDS Database Insights and Datadog This role will partner closely with Product, Engineering, Risk, and Operations teams to define enterprise data strategies, architect scalable data solutions, and operationalize high-value AI/data products that accelerate business growth and innovation. Enterprise Data Product Leadership • Collaborate with the Data leadership team on the refinement of our strategy for Data Products Engineering and scalable data product delivery with a focus on enabling/building AI-powered solutions., • Establish a product-centric operating model for data capabilities, emphasizing:, • Reusable and governed data products with a focus on accelerating AI/data products, • Domain-oriented ownership, • Data contracts and SLAs, • Product lifecycle management, • Discoverability and interoperability, • Standardized business metrics and semantic models, • Partner with business and technology stakeholders to identify, prioritize, and deliver strategic data products aligned to enterprise goals., • Drive the creation of scalable enterprise data assets supporting:, • Fraud and risk intelligence, • Transaction analytics, • Merchant and customer insights, • Financial and operational reporting, • AI/ML enablement, • Regulatory and compliance requirements Strategic Data Solution Architecture • Lead strategic architecture and engineering decisions for domain data solutions and our modern cloud-based analytical AI/data platform expansion, • Design scalable, resilient, and AI-ready data architectures that support high-volume transactional processing and analytical workloads., • Collaborate with Data team leadership on enterprise standards for:, • Data modeling and semantic design, • ELT/ETL frameworks, • Data orchestration, • Data quality and observability, • Metadata management and lineage, • Data governance and security, • Performance optimization and scalability, • Architect data solutions that enable trusted, near real-time, and self-service access to enterprise data., • Drive architectural alignment across operational systems, analytics platforms, AI/ML environments, and reporting ecosystems., • Partner with Architecture, Cloud Engineering, and Security teams to ensure long-term AI and data product scalability, interoperability, and compliance. Data Engineering Leadership • Lead and scale high-performing Data Product Engineering team responsible for domain AI product and data product delivery., • Oversee development and operationalization of scalable cloud-native data pipelines and data services., • Drive modernization of legacy data workflows and platforms to improve agility, scalability, and operational efficiency., • Ensure data products are optimized for analytics, predictive modeling, and AI/ML consumption. Team Leadership & Organizational Development • Build, mentor, and develop a high-performing teams, • Foster a culture of engineering excellence, ownership, innovation, and continuous improvement., • Promote modern engineering and architectural practices across the organization., • Establish career frameworks, mentorship programs, and capability development strategies for technical teams., • Lead strategic vendor and technology partner relationships supporting data engineering and platform initiatives. Minimum Qualifications • Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Information Systems, or related field required; Master's or PhD preferred., • 10+ years of progressive leadership experience in Data, Analytics, or AI/ML organizations., • 5+ years leading enterprise-scale analytics, data science, or AI engineering teams., • Strong hands-on expertise in predictive analytics, machine learning, recommendation systems, decision intelligence, and AI-enabled analytics., • Proven experience building scalable enterprise data products, • Deep experience with modern cloud data platforms and analytical ecosystems including:, • Snowflake, • Dataiku, • dbt, • Fivetran, • Apache Iceberg, • Looker / LookML, • Strong technical expertise in:, • Python, • SQL, • ML frameworks and AI tooling, • Cloud platforms such as AWS, • Strong executive communication and stakeholder management skills., • Experience leading within complex, matrixed organizations., • Exceptional communication and stakeholder management skills with ability to influence executive and technical audiences. Preferred Qualifications • Experience within fintech, payment processing, transaction platforms, fraud analytics, or regulated financial services., • Experience with real-time analytics and streaming architectures., • Familiarity with:, • MLOps platforms, • Feature stores, • Vector databases, • Semantic retrieval architectures, • Agentic AI frameworks, • Knowledge of PCI, SOC2, GDPR, and financial data governance requirements., • Experience integrating predictive AI and analytical AI capabilities with broader GenAI enterprise initiatives. The annual base salary range for this role represents PayNearMe's good-faith estimate of the base salary it reasonably expects to offer for this position at the time of hire. Actual compensation may vary based on factors including the candidate's experience, qualifications, skills, and work location. PayNearMe may offer compensation outside of this range in certain circumstances. This position will remain posted until filled. Annual Salary Range $200,000—$245,000 USD Why Join Us?: • Competitive salary and benefits with growth-company options grant, • Fast- paced and professional work culture, • Stock options with standard startup vesting - 1 year cliff; 4 years total, • $50 monthly communication expense stipend to go towards your phone/internet bill, • $250 stipend to enhance your WFH setup, • Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200), • Premium medical benefits including vision and dental (100% coverage for employees), • Company-sponsored life and disability insurance, • Paid parental bonding leave, • Paid sick leave, jury duty, bereavement, • 401k plan, • Flexible Time Off (our team members typically take off ~3-4 weeks per year), • Volunteer Time Off, • 13 scheduled holidays PayNearMe strives to create a workplace where all employees thrive. Our core values represent who we are today and we take pride in the way we work with each other as well as with our stakeholders. We're in this together to do the right thing. We deliver real results we are proud of while remaining respectful, transparent, and flexible. PayNearMe is an equal opportunity employer. We are diligently and thoughtfully working towards cultivating a diverse workforce which in turn, enhances our products and services for the communities we serve. Applicants who represent all backgrounds are strongly encouraged to apply. Candidate information will be treated in accordance with our job applicant privacy notice found at: https://home.paynearme.com/ccpa-privacy-notice-jobs-employees/

Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As the Technical Lead for Fleet Connectivity, you will define and build the highly resilient foundation for two-way communication between Nuro's autonomous fleets and the cloud. You will take ownership of the networking infrastructure, telemetry, and routing that manage critical data flow at scale across our current and next-generation platforms. Your technical leadership will drive the architecture of fault-tolerant software across both cellular and Wi-Fi networks. A significant part of this role involves evaluating new connectivity hardware modules and working intimately with modems and commercial cellular networks to maximize throughput and stability. By leveraging advanced cellular bonding technologies, you will deliver the robust networking backbone required to support critical capabilities. These include seamless Vehicle APIs, high-bandwidth in-depot connections, continuous telemetry, and low-latency data streaming for remote assistance. This is a highly cross-functional and high-impact role. Partnering closely with hardware, autonomy, and operations teams, you will spearhead the development of tools to optimize connectivity trends and resolve critical fleet issues. We are looking for a technical authority who can translate ambiguous requirements into cohesive system designs, mentor engineers, and shape the long-term architectural vision of Nuro's safety-critical autonomous vehicles. About the Work • Establish the technical roadmap and architectural vision for the fleet connectivity, ensuring the observability, security, and reliability of cellular network components and network software during robot start-up and autonomous operation., • Drive system design for highly scalable, fault-tolerant connectivity solutions, leading software efforts for Nuro's next-gen platforms., • Lead high-impact technical initiatives, working closely with upstream and downstream stakeholder teams to define system requirements and implement overarching connectivity strategies., • Spearhead the development of advanced analysis tools, dashboards, and automation frameworks to track, measure, and optimize connectivity trends from operational data., • Serve as the technical authority for the team, providing high-level design guidance, code reviews, and technical mentorship for both junior and senior engineers. About You • Strong proficiency in C, C++, Go, Python, or similar languages., • Exceptional ability to turn ambiguous, high-level requirements into detailed, cohesive system designs and architecture spanning multiple components., • Deep technical expertise in debugging and tooling of cellular modems, Linux network stacks, and networking protocols., • 8+ years of relevant industry experience with a proven track record of acting as a Tech Lead on complex software projects., • BS, MS, or PhD in Computer Science, or a related technical field. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Job DescriptionCompany Description Eurofins EAG Laboratories has over 40 years experience in engineering and materials testing services. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services operating over 950 labs in 60 countries with 65,000 employees with a portfolio of over 200,000 validated analytical methods. At EAG, curiosity fuels everything we do. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, engineering rigor, and solving problems that matter, you’ll feel right at home here. Our scientists and engineers support industries ranging from semiconductors and advanced electronics to pharmaceuticals, medical devices, energy systems, and consumer products. Using advanced techniques in analytical chemistry, microscopy, surface analysis, and engineering sciences, we help clients solve complex challenges across the product lifecycle. What sets EAG apart isn’t just our world‑class instrumentation—it’s our people. We’re problem solvers, collaborators, and lifelong learners who value precision, curiosity, and impact. Here, your work directly influences the safety, reliability, and performance of products used around the globe. Imagine the possibilities. Let’s explore them together. Job Description The Advanced Microscopy team is looking for experienced Materials Analyst with a background in operating and analyzing materials using TEM (Transmission Electron Microscopy). This is a hands‑on, production‑focused role centered on supporting advanced materials and semiconductor analysis for clients across multiple industries. The successful candidate will be a strong technical contributor who thrives in a fast‑paced lab environment, enjoys focused tool time, and values producing high‑quality, site‑specific results within defined client timelines. A typical day will consist of various activities, including: • Obtaining TEM and STEM images of prepared samples, • Obtaining STEM/EDX and STEM/EELS spectra, line scans and maps, • Organizing data, prepare and deliver summary reports to customers, • Partnering with customers and team members to optimize experiments and explain results, • Developing TEM analysis protocols for new sample types Work Schedule: *5pm-2am - Tuesdays to Saturdays or Sundays to Thursdays *+10% Night Shift differential will apply Qualifications • Bachelor's or Master's degree in Materials Science and Engineering or related field or equivalent industry experience. This role is structured for BS to MS level only and is not aligned with PhD‑level graduate level., • Excellent operation and theory understanding of Transmission Electron Microscope, • Experience with TEM sample preparation and hard materials characterization, • Solid understanding of electron microscopy, semiconductor device physics and failure analysis What would set you apart: • Familiarity with aberration-correction TEM, • Familiarity with FEI TEM tools, Oxford/Bruker EDS, Gatan EELS, Digital Micrograph Additional Information Compensation is aligned with market standards for the region and tailored to individual qualifications and experience. Physical Requirements: • Ability to communicate clearly and understandably with sufficient volume to ensure an accurate exchange of information in normal conversational distance, over the telephone, and in a group setting, • Ability to continuously operate a personal computer for extended periods of time (4 or more hours), • Ability to lift to 10 lbs., • Physical dexterity sufficient to use hands, arms, and shoulders repetitively to operate a keyboard and other office equipment., • Ability to use a telephone, access file cabinets, receive and ship customer products, • Ability to sit for periods of time The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. If you have a disability or special need, we would like to know how we can better accommodate you. What It’s Like to Work Here: • Teamwork: Be inspired by your leaders, be encouraged by your teammates and be supported in all parts of your journey while you work with us., • Learning & Development: Take on career development programs and goal setting to create big possibilities for your career and life. Develop within the company; be mentored and grown as a leader., • Diversity & Authenticity: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. Benefits & Perks to Foster Work/Life Balance: ✓ Medical, Dental and Vision Insurance ✓ 401k Company Matching ✓ Wellness Program ✓ Volunteer Time off ✓ Education Assistance ✓ Fitness Reimbursement ✓ …and more! Eurofins EAG Laboratories is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the Company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law. The Company’s policy is to recruit, hire, train, promote and administer all employment-related matters based on an individual's qualifications, abilities and efforts without regard to protected status. Learn more about us at www.EAG.com and check out our Careers’ page for other opportunities! 67081 Eurofins USA Material Sciences is a Disabled and Veteran Equal Employment Opportunity employer.