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Job Description OPPO US Research Center is seeking a skilled and proactive Site Reliability Engineer (SRE) to join our team. In this role, you will be responsible for ensuring the stability, scalability, and performance of our application systems. The ideal candidate is passionate about cloud infrastructure, automation, and building reliable, production-grade environments. Requirements Key Responsibilities • Operate and maintain Linux-based systems, ensuring high availability and performance through monitoring, maintenance, and troubleshooting., • Manage and support public cloud platforms such as AWS, Azure, and Google Cloud, including services like databases, middleware, message queues, and load balancers., • Implement and manage CI/CD pipelines to streamline deployments and improve delivery speed., • Deploy and maintain containerized applications using Kubernetes (K8s) to ensure service reliability and scalability., • Plan, configure, monitor, and optimize cloud resources to reduce operational costs and maximize resource efficiency., • Participate in on-call rotations, quickly respond to alerts, and resolve production incidents to minimize downtime. Qualifications • 3+ years of experience in system operations, DevOps, or SRE roles with strong Linux system administration skills., • Hands-on experience with one or more major cloud platforms (AWS, Azure, or Google Cloud)., • Familiar with infrastructure-as-code and scripting; proficiency in Go, Python, or Shell scripting., • Solid understanding of cloud-native architectures, system reliability, and operational best practices. OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. Tech Stack • CUDA, • CUTLASS, • Developing and improving low-level CUDA kernel optimizations for state-of-the-art inference and training software stack., • Profiling, debugging, and optimizing single and multi-GPU operations using tools such as Nsight., • Understanding GPU memory hierarchy and computation capabilities., • Implementing the latest methods from the deep learning literature in low-level CUDA kernels., • Innovating new ideas that bring us closer to the limits of a GPU.Ideal Experiences, • Building high-performance GeMM CUDA kernels using Tensor cores or CUDA cores from scratch or by utilizing CuTe/CUTLASS., • Implementing features for attention kernel by extending existing kernels or writing them from scratch., • Comfortable with writing both forward and backward kernels and ensuring its correctness while considering floating point errors., • Optimizing for both memory-bound and compute-bound operations., • Reasoning about register pressure, shared-memory usage and GPU utilization through tools such as Nsight and removing bottlenecks., • Being familiar with the latest and the most effective techniques in optimizing inference and training workloads., • Coding assessment in a language of your choice., • Systems hands-on: Demonstrate practical skills in a live problem-solving session., • Project deep-dive: Present your past exceptional work to a small audience. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.Responsibilities • Design, build, and maintain modern, responsive full-stack web applications, • Translate user flows and designs into robust, scalable code, • Collaborate with product, design, and AI/ML teams to deliver seamless user experiences, • Develop and maintain backend services, APIs, and data pipelines, • Integrate front-end interfaces with backend APIs and AI/ML model serving infrastructure, • Ensure high performance, accessibility, and cross-browser/device compatibility, • Contribute to shared component libraries and internal design systems, • Define and improve development workflows, coding standards, and best practices, • Monitor and improve system performance, observability, and reliabilityRequirements, • 4+ years of experience as a full-stack or front-end/backend engineer, • Strong programming skills in JavaScript/TypeScript, Python, and modern frameworks (e.g., React, FastAPI, Node.js), • Experience developing, testing, and deploying production-grade web applications, • Proficiency in HTML/CSS (including SCSS) and responsive UI development, • Experience with RESTful and/or GraphQL API design and integration, • Familiarity with front-end testing tools, animation libraries, or data visualization frameworks, • Experience working with modern CI/CD pipelines, Git workflows, and agile development, • Experience deploying applications in cloud environments (e.g., AWS, GCP, Azure), • Strong understanding of containerization (e.g., Docker) and orchestration tools like Kubernetes, • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldNice to Have, • Experience serving large language models or working with AI/ML model inference infrastructure, • Familiarity with AI model serving frameworks such as Triton Inference Server, HuggingFace Transformers/Spaces, or Gradio, • Prior work with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton), • Experience developing tools or interfaces for scientific, medical, or biological data, • Knowledge of bioinformatics tools or biological data modalities (e.g., genomic, proteomic, single-cell), • Contributions to open-source projects, • Experience working in a fast-paced startup environment

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role We're a small, fast-moving team with ambitious growth goals. Our engineers ship products quickly, and we're looking for creative Full Stack Engineers who can help us rapidly bring these solutions to market. This team is laser-focused on growing our user base. It's a unique opportunity to make a direct impact and help shape our growth story. This full time position requires working 5 days a week in our Mountain View, CA office. What You’ll Do * Build end-to-end products to revolutionize Ambient AI for providers and administrators * Be a part of a tremendously fast-paced team that celebrates fast execution and decisions * Work across the entire software stack * Work with a stack that includes Python, Javascript, React, Typescript, Flask, and other frameworks * Work directly with customers to solve their issues daily What You Have * [Required] Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience * 4+ years of professional software development industry experience * Strong Full-Stack programming skills (Must be comfortable with Python) * General Understanding of Containers and Cloud (Docker, Kubernetes) * Strong experience with Frontend technologies (React, Typescript, etc.) * Experience in environments where you have to ship quickly. We move fast. * Experience building production environments * Alerting and reporting * Metrics tracking * Software reliability engineering * Great product sense * Familiarity with LLMs, speech-to-text models, or healthcare/EHR integrations is a strong plus. Commure + Athelas is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $150K - $180K

Job DescriptionPivotal 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, the first light eVTOL to fly manned missions and enter the consumer market. Efficient, compact, and simple, Pivotal vehicles are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been in development, preparing to enter the market for over 10 years. We recently announced our next-generation aircraft, the Helix, planned for general release and scalable production in 2025. Mobility is one of the most highly-valued areas of technology investment today. This is the right company, in the right space, the right strategy, at the right time. We invite you to join our amazing team and grow with us. Pivotal is seeking a Senior GNC Engineer to focus on requirements definition, verification, and validation of GNC features for our eVTOL aircraft. This role emphasizes developing testable requirements, designing simulation and flight test cases, and ensuring that safety-critical features such as flight envelope limiters and state estimation are robust across worst-case scenarios. The position requires close collaboration with flight test, systems, and controls teams to validate designs at both the simulation and aircraft levels.Responsibilities • Define and refine requirements for flight guidance, navigation and control features., • Plan and execute system-level verification and validation activities, including MIL/SIL testing, simulations (e.g. Monte Carlo simulations) and flight test campaigns., • Develop flight and/or simulation test cases that probe requirement compliance under worst-case environmental and system conditions., • Collaborate with systems engineering and flight test teams to align requirements, simulation results, and flight validation., • Analyze flight test data to evaluate compliance with requirements and identify gaps or edge cases., • Document test plans, results, and compliance evidence for safety and certification purposes., • Contribute to continuous improvement of verification processes, standards, and infrastructure., • Mentor junior engineers on verification best practices.Qualifications, • 5+ years of experience in flight control systems, verification, or flight test support., • Solid understanding of flight dynamics, state estimation (Kalman filters, sensor fusion, sensor characteristics) and control systems (envelope protection, stability, handling qualities)., • Demonstrated ability to define requirements and design verification strategies for safety-critical systems., • Experience planning or executing flight test activities., • Strong problem-solving and communication skills; able to work across teams., • Proficiency with MATLAB/Simulink and Python for modeling and analysis.Preferred Qualifications, • Experience with Simulink Test, test harness creation, automated regression, and coverage analysis., • Familiarity with static/dynamic code analysis tools (e.g., Polyspace)., • Knowledge of safety/reliability standards (DO-178C, DO-331, ISO 26262, etc.)., • Familiarity with system identification and control analysis tools (e.g., CIFER, CONDUIT)., • Scripting experience (Python, MATLAB, etc.) for test automation and data analysis., • Hands-on experience with UAVs, RC aircraft, or flight test instrumentation., • Experience with version control (Git), requirements management tools, and scripting (Python, MATLAB).Attributes aligned with Core Values, • Demonstrates a proactive safety mindset by embedding safety into daily operations, identifying and mitigating risks through assessments and training, encouraging open dialogue on safety concerns, and continuously improving protocols to ensure a safe work environment., • Puts customers at the center of every action by deeply understanding their challenges, delivering exceptional value, and striving to exceed expectations to support their success as our core purpose., • Actively seeks and values diverse stakeholder perspectives, builds cross-functional relationships, and fosters trust through empathetic, fact-based communication—committing to shared decisions for the greater good., • Drives results with clarity and purpose by focusing on what matters most, adapting to change, taking initiative, and owning outcomes while aligning actions with a clear understanding of success at every level., • Navigates ambiguity with resilience and bold thinking, challenges the status quo, and combines innovative ideas with practical best practices to overcome obstacles and drive progress.

Job DescriptionThe senior analog & mixed-signal layout designer will be responsible for the layout of cutting edge, high performance, high speed CMOS data converters in foundry CMOS process nodes in 5nm, 6nm, 7nm, 16nm, and 28nm. Qualifications • 10+ years experience in high performance analog layout in advance CMOS process nodes, • Experience with layouts of high performance analog blocks (such as ADC, DAC, PLL, and SERDES, for example), • Experience with analog layout techniques such as common centroid, interdigitation, shielding, dummy devices, EM aware routing on critical block, and must be versed with with VXL compliant methodology, • Familiarity in various physical verification checks DRC, LVS, DFM, ERC, EM, IR etc., • Layout Automation using SKILL/PERL/Python is a plus, • Self starter with the ability to define and adhere to schedule and methodology

Job DescriptionAbout us:Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. Role Overview:As a Photonics Lidar Technical Lead you will be partnering with cross functional teams to deliver photonics based FMCW lidar systems to the market. You will engage with the internal teams to model and analyze novel lidar solutions to deliver products to various lidar and depth sensing markets. This role requires excellent understanding of design trade-offs spanning photonics, electro-optical interfaces, scanning systems, and mechanical/ 3D integration. You will lead the development from initial concept to the full system POC demonstrating they meet the specifications. You will also own and define the engineering specifications for the final product and guide the product development.What you'll be doing: • Be the technical point person during development from initial concept and to the full system POC, • Detailed simulations and modeling of link, power, and thermal budgets to deliver lidar systems to specification, • Validate models by designing and conducting experiments for empirical data collection and analysis, • Work closely with photonics designers, optics, mechanical engineers, and system engineers to create system POC and provide technical guidance for full system prototype designs, • Manage core technical details of new photonics prototypes and systems to ensure key results from concept phase translate through to full system demonstration, • Perform FA and debugging for early prototypes This is not a complete list of responsibilities, rather a good representation of what you will be doingWhat you have:, • Experience with lidar systems and depth sensors, preferably chip scale implementations, • Strong background in system level modeling for lidar, • 3-5 years of hands-on experience in characterization of lidar systems, photonic components, subassemblies, and/or modules, • Deep understanding of design trade offs to build industry leading lidar systems, • Excellent understanding of active and passive photonics components, electrical components, and thermal/mechanical interfaces, • MS or PhD in electrical engineering, physics, or another photonics related field, • Strong organizational and interpersonal skills with an ability to learn on the fly, • Experience using python, MATLAB, JMP, R, or similar for modelling and data analysisWhat's in it for you:, • Be part of a fast paced and dynamic team, • Very competitive compensation and meaningful stock grants, • Exceptional benefits: Medical, Dental, Vision, and more

Job DescriptionEmbedded DevOps Engineer Ideal candidate will have a strong background in embedded systems development, with specific expertise Real-Time Operating System (RTOS). You will be responsible for the entire lifecycle of our embedded software, from the foundational build system and continuous integration (CI) pipeline to the optimization of our development environments using Docker. Key Responsibilities: • Design, implement, and maintain CI/CD pipelines for embedded software projects using GitHub for Zephyr OS projects., • Automate build, test, and deployment processes to enhance development efficiency., • Integrate version control, build tools, test frameworks, and deployment systems into a cohesive pipeline., • Collaboration and Documentation: Work closely with hardware and software engineering teams to define requirements, troubleshoot complex issues, and ensure seamless integration. You will also be responsible for creating and maintaining clear and comprehensive documentation for the build system, CI pipeline, and development environment., • Zephyr OS Development: Design, develop, and maintain embedded software for our products using the Zephyr RTOS. This includes writing and debugging device drivers, implementing application-level logic, and contributing to the overall software architecture., • Docker Image Optimization: Create and optimize Docker images for our development and build environments. The goal is to provide a consistent and efficient development environment for the entire team, minimizing setup time and ensuring reproducibility. Required: • Experience with RTOS environments (Zephyr highly preferred but others such as FreeRTOS, ThreadX, etc. are ok)., • Demonstrable experience in designing and implementing CI/CD pipelines, preferably with GitHub Actions., • Strong experience with Docker, including creating and optimizing Dockerfiles and managing containerized environments., • Proficient with version control systems, especially Git., • Familiarity with scripting languages like Python or Bash for automation., • Proven experience in embedded software development, with a strong proficiency in C/C++., • Hands-on experience with the Zephyr RTOS, including its build system (West, CMake) and kernel concepts., • Knowledge of various microcontroller architectures (e.g., ARM Cortex-M, RISC-V)., • Experience with hardware-in-the-loop (HIL) testing and other automated testing frameworks for embedded systems., • Excellent problem-solving and debugging skills. Estimated Min Rate: $60.00 Estimated Max Rate: $90.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All 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. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: Company DescriptionFounded in 1940, Yoh operates from 75 locations throughout North America and is headquartered in Philadelphia, PA. Yoh was the nation’s first technology staffing firm. As a business unit of Day & Zimmermann, Yoh has a flourishing global footprint, as our parent company operates from more than 150 worldwide locations. Company Website: in 1940, Yoh operates from 75 locations throughout North America and is headquartered in Philadelphia, PA. Yoh was the nation’s first technology staffing firm. As a business unit of Day & Zimmermann, Yoh has a flourishing global footprint, as our parent company operates from more than 150 worldwide locations.\r\nCompany Website:

Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine. GenBio AI is building the AI-Driven Digital Organism (AIDO) and the AIDO Virtual Cell Lab, a platform where researchers can design, perturb, and observe biological systems entirely in silico using biological foundation models and LLMs. We are looking for a Research Engineer specializing in building inference and finetuning infrastructure, with a focus on LLMs and generative models (e.g. AIDO.StructureDiffusion). You’ll work on closing the gap between research and production in the AIDO model ecosystem, bringing new models to internal and external users through on-demand inference and finetuning.Key Responsibility • Design and own AIDO’s internal model ecosystem, including scalable infrastructure for serving, finetuning, distillation, and inference across many model sizes and architectures., • Develop reusable pipelines for on-demand model finetuning using internal and external datasets, ensuring reproducibility and cost-efficiency., • Build APIs and inference tools that integrate deeply with downstream biology simulators., • Productionize foundation model interfaces, including transformer-based LLMs and diffusion/auto-regressive architectures, with an emphasis on biological data modalities (DNA, RNA, protein, etc.)., • Collaborate with research and product teams to enable virtual experiments powered by generative AI, including agentic workflows and user-facing tooling., • Support distillation, quantization, and routing strategies to optimize model throughput and enable multi-model orchestration., • Prioritize observability, reliability, and safety in generative workflows through better logging, traceability, and rollback mechanisms., • Ensure scalability and automation throughout the model lifecycle: training, testing, deployment, and adaptation., • Automate everything.Qualifications, • M.S. or equivalent practical experience in MLOps, Computer Science, Engineering, or related field., • 2+ years of experience developing, deploying, and evaluating LLMs or generative models (transformers, diffusion models, VAEs, autoregressive architectures, etc.)., • Proficiency with deep learning research and production stacks, such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed., • Strong programming skills in Python, with experience developing model services and backend APIs (Flask, FastAPI, or similar)., • Familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton) and profilers (PyTorch Profiler, Nsight Systems, TensorBoard), • Familiarity with resource coordination platforms (e.g., SLURM, Kubernetes), and managed solutions (Vertex AI, SageMaker, OCI Data Science), • Familiarity with ML automation frameworks (e.g. Kubeflow, Argo Workflows, Apache Airflow, Metaflow)., • Expertise in cloud computing (GCP, OCI, AWS)., • Strong software engineering practices: testing, version control, CI/CD pipelines., • Ability to work in a fast-moving research environment, productionizing new models as they become available.Preferred Qualifications, • Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus., • Experience with biological data modalities (e.g., DNA, RNA, protein sequences, cell imaging)., • Prior work on multimodal or multiscale models across text, sequences, images, or structure., • Background in model distillation, quantization, and memory/latency optimization., • Knowledge of RESTful API design and data security., • Strong written and verbal communication skills, especially across research, product, and engineering.

Job DescriptionCompany Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit . Role Overview ID.me is looking for a Staff Security Engineer to add to our growing security team. If you love innovation, here's your chance to make a career of it by advancing the digital identity ecosystem. We are seeking a talented Staff Security Engineer who enjoys the challenges of combining software and systems engineering to design, build, run, and automate distributed, fault-tolerant security solutions at scale. As a Staff Security Engineer, you will lead the design and development of scalable security solutions that realize/execute the strategies across the entire Security Program (i.e., SecOPs, Data Protection, CloudFlare, Privileged Access Management, IAM, etc.). The Staff Security Engineer will also have the opportunity to provide thought leadership, research, and innovation on a broad scale. This is a fully onsite position in one of our hub locations (Mountain View CA or McLean VA). Responsibilities • Implement, manage, and improve CloudFlare capabilities, (WAF, VPN, DNS, etc.), via Terraform, Github, and Github Actions., • Implement security solutions in GCP via Terraform and Python and JavaScript coding., • Implement CloudFlare Workers via requisite coding languages., • Integrate solutions with Okta, and support triage and troubleshooting., • Build integrations with Google SecOPs SIEM, and define queries as needed., • Build integrations with ConductorOne IGA solution, including workflow and policy implementation within the tool., • Improve GCP and AWS security posture, via hands-on skills in one or more of these CSPs, including hands-on skills scripting with one or more of the associated API layers., • Leverage deep Jira knowledge and experience to define and deliver Sprints with Scrum Master and Product Owner, as well as ticket handling within SLAs., • Continuously improve Change Management processes, guidelines, and documentation across security tools/services to ensure reliability, efficiency (e.g., increased automation via Open Policy Agents), and compliance., • Measure and report on reliability, efficiency, and compliance of security tool/service operations., • Ensure security controls are optimized for ease of use by both security operators and end users., • Dig deep into complex problems either lacking a clear approach or with a high degree of execution risk and find an appropriate path forward., • Maintain many of the essential cross-team and cross-functional relationships necessary for the team's success., • Define standards and best practices for the team and the security organization., • Participate in an on-call rotationBasic Qualifications, • 7+ years of experience in security engineering, systems engineering, software engineering, or SRE roles., • Current hands on experience with GCP or AWS, • 2+ years of experience dedicated to Cloud Site Reliability Engineering and related roles., • 5+ years of current and hands on experience in scripting or software development (i.e. Python, Ruby, Go)., • Hands-on CloudFlare skills and experience.Strong hands-on Jira skills and experience.Strong hands-on Okta skills and experience., • Experience in Linux/Unix administration and solid networking knowledge., • Possess a breadth of engineering skills with an interest in service reliability, automation, monitoring, and capacity planning., • Strong written and verbal communication skills, especially in technical contexts., • Must have a sense of urgency, delivering solutions with velocity and high quality., • Must agree that 90% completion equates to 5% completion, with focus of defining goal-posts, and ruthlessly "clearing their plate" and completing the job at hand., • Ability to move strategic work efforts forward while fielding adhoc requests., • Must be a team player with a strong, self-managing work ethic. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. Mountain View, CA Pay Range$208,197—$258,750 USD ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

Job Description ▶︎ Job Details: • Job Title: Bilingual Software Developer, • Client: Software IT Company, • Working Location: San Jose, CA or Dallas, TX, • Employment Type: Full-time (40 hours /week), • Salary: $80K – $100K (DOE), • Language: Japanese and English Responsible for overseeing, participating in, and performing (but not limited to) tasks. ▶︎ What will you do: • Software Development for Embedded System for vehicle., • Determining amount of effort required for each task., • Source Code Analysis., • Create specification documents., • Communicate with engineers in Japan and North America., • Providing technical support to other team members, as necessary., • Preparing and presenting reports and participating in-group meetings. ▶︎ Required Qualifications & Skills: • 5 + Years of work experience, • Engineering experience in product development, • Experience in Computer Language (C, C++, Rust, Python, etc.), • Have a knowledge of computer algorithms and data structures, • Have a knowledge of machine learning and neural network architectures, • Have a knowledge of computer graphics and computer vision concepts, • Japanese/English Bilingual (both speaking and writing, • Strong Communication Skill ▶︎ Preferred Qualifications: • Experience in Automotive industry, • Experience in LiDAR, Sensor and IoT industry ▶︎ Additional Information: • Candidates must be able to successfully pass a pre-employment background check and drug screening, • Candidates must be able to work for any US employer without requiring sponsorship▶︎Compensation:, • Medical, Dental & Vision insurance, • Company Paid and Optional Life Insurance zWvOShlBxq

Job DescriptionWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. The Avionics Hardware team is a small group of highly motivated engineers who develop the core compute, actuation, sensing, and power electronics products at the heart of our automation system. We enjoy cradle-to-grave hardware ownership and hands-on test, iteration, and deployment of our designs. As a Sr Avionics Hardware Engineer, you will lead development of electrical components and sub-systems across our airborne and test platforms from the circuit-board level up through integrated systems and everything in between. Responsibilities In your role as Sr Avionics Hardware Engineer, you will design, analyze, document, test, and troubleshoot electronic assemblies at the circuit board through integrated electro-mechanical level. You will collaborate with a cross-functional team of electrical, mechanical, software, manufacturing and test engineers as the expert on your hardware. You will drive improvements to the hardware through benchtop, environmental, and on-aircraft testing, and perform root-cause investigations to characterize, document, and rectify anomalous behavior in a safety-critical environment. You will contribute to continuous improvement of the team’s development processes and practices through technical leadership.Basic Success Criteria • Bachelor’s degree in electrical engineering, computer engineering, or equivalent experience, • 5+ years of full-lifecycle hardware development experience in a professional environment, • Experience developing and simulating complex and manufacturable printed circuit board assemblies using tools such as Altium Designer and SPICE, • Ability to work within a team, including excellent written and verbal communication skills, • Ability to methodically diagnose, document, and solve electronic hardware problemsPreferred Criteria, • Advanced degree in electrical engineering or computer engineering, • Experience with aviation development assurance standards (e.g. RTCA/DO-254 for Level A/B items or equivalent), • Experience designing electronics to meet rigorous environmental standards (aerospace, military, automotive, or harsh industrial), • Deep expertise in high-speed digital design, mixed-signal design, RF design, and/or power electronics design, • Proficiency with Python and/or MATLAB for analysis, data review, and test setup scripting

Job DescriptionJoin a cutting-edge and well-funded hardware startup in Silicon Valley as a PD/CAD Engineer. Our mission is to reimagine silicon and create computing platforms that will transform the industry with the most advanced technologies. You will have the opportunity to work with some of the most talented and passionate engineers in the world to create designs that push the envelope on performance, energy efficiency and scalability. We offer a fun, creative and flexible work environment, with a shared vision to build products to change the world. You will be responsible for building and automating formal verification flow and also support multiple design teams to consolidate resolutions.Qualifications • Develop and improve existing flow for logical equivalent check, • Experience with ABORT/NEQ debugging process, • Experience with logical equivalence tools such as Conformal LEC and/or Formality, • Collaborate with tool venders for tool issues debugging and resolving, • Collaborate with cross-functional RTL/PD/DFT teams to come up with custom solutions, • Developing and maintaining in-house CAD tools and flow, • Experience with Conformal ECO/Formality ECO is a plus, • Experience with Conformal Lowpower/VCLP is a plus, • Experience with Low Power implementation flows (UPF) is a plus, • Experience with Physical Synthesis/PNR and also DFT implementation is a plus, • Proficient in programming languages, TCL, Python, PerlEducation & Experience, • BS (preferred in EE) plus 8 years

Job DescriptionFounded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune 1000 and Global 2000 companies.With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! Position Overview: We're looking for a Principal Product Security Engineer to join our team and lead our product security to the next level and beyond. The ideal candidate for the strategic role is a senior, highly technical, passionate, team-oriented professional with a proven track record of excellence in technical product security engineering, leadership and execution. This role will be instrumental in shaping how security is integrated throughout the Obsidian SaaS product, hosting environments, and related services. The ideal person for this role must be mission and values-driven, must have an ownership mentality, and must put the well-being of our customers, our teammates, and our organization at the forefront of how they operate. This person must be able to operate and thrive in a dynamic, high-growth startup environment within an established Cybersecurity, GRC, and IT team and programs. This is a critical, high-impact role that will serve as a catalyst for growth for any seasoned cybersecurity professional. The Principal Product Security Engineer reports to the Chief Information Security Officer and will be responsible for developing, implementing, optimizing, scaling, automating, and operating the Obsidian product security program. The Principal Product Security Engineer works closely with Engineering, Product, DevOps, GRC, and IT to support the company's product security needs. Candidates applying for this sensitive and high-impact role should be highly technical team leaders and operators with exceptional secure software engineering, automation, and application and infrastructure security experience, capable of implementing and operating application security, infrastructure protection, threat detection, and incident response capabilities and industry best practices across an organization with a cybersecurity mission and modern tech stack. This is a multi-faceted role within a fast-moving startup and will require the successful candidate to possess an ownership mentality, sound judgment, personal responsibility, and initiative. Your Responsibilities Will Include • Security Architecture and Technical Leadership, • Provide technical leadership and guidance for the Security Team, mentor more junior security engineers., • Mentor engineers on secure design and coding practices, and influence cross-functional teams through technical thought leadership., • Ensure that the Product Security Program is properly defined and documented to include technical runbooks, standards, procedures, and continuity documentation., • Lead and drive scalable security design reviews for existing and new features and services., • Define and maintain secure and private-by-design development patterns, and architectural and operational best practices., • Lead security architecture reviews, threat modeling sessions, and secure coding workshops., • Help scale security knowledge across the organization through training and documentation., • Support escalations in customer and prospect security reviews and due diligence, • Secure SDLC & Code Review and Testing, • Mature and integrate scalable security into the SDLC., • Provide deep technical reviews for high-risk areas in backend and frontend codebases and services, • Ensure security testing is properly configured and deployed in code projects and CI/CD pipelines, • Ensure that testing and review outputs are properly documented, prioritized, and worked through completion, • Automate fuzzing, SAST/DAST, SBOM generation, and third-party dependency scanning., • Facilitate and evolve scalable threat modeling processes across SDLC., • Anticipate and address new attack surfaces as the product evolves., • Cloud Security & Infrastructure Hardening, • Partner with DevSecOps, DevOps, SRE, and Platform Engineering to improve the security of cloud environments, Kubernetes, data pipelines, CI/CD pipelines, and related resources., • Drive zero-trust principles in service-to-service communication and access controls., • Drive security maturity in critical Obsidian product resources such as secrets management systems, databases, and data pipelines., • Mature Infrastructure as Code (IaC) and related security tooling and practices., • Ensure that security tooling is properly configured and implemented to the maximum potential., • Monitor security tooling for security events., • Ensure that the most important security metrics are collected and properly made visible via dashboards and reporting., • Incident Response & Threat and Vulnerability Management, • Act as a key technical lead in security incident response and after-action reviews. Prioritize, assess, and drive remediation of product and infrastructure vulnerabilities., • Create automation workflows for security incident detection and response across environments., • A person who is excited about working at an industry-leading cybersecurity startup company with enterprise security needs., • At least 10 years of Product Security experience in a cloud-native environment, with a preference towards experience in the cybersecurity industry, • Proficient in software engineering with emphasis on the Python programming language at a minimum, • Proficient in Terraform Infrastructure-as-Code, • Proficient in securing Kubernetes, • Proficient in securing AWS and GCP environments, • Proficient in securing the GitLab platform, • Proficient in security automation, • Proficient in security metrics collection and reporting, • Excellent understanding of multiple security domains such as application security, protection, detection, response, vulnerability management, or threat intelligence, • Be obsessive about security while doing everything possible to support the overall mission., • Experience with modern IT systems such as Google Workspace, Microsoft 365, Slack, Notion, Jira, GitLab, • Experience working with multiple internal and external stakeholders during incident lifecycles, • Be part of a team-first, low-ego, mission-focused culture., • Provide opportunities for professional development., • Provide opportunities to make high-impact contributions to security., • Influence the Obsidian product development., • Annual conference attendance budget, • Competitive salary, equity, and health benefits, • Opportunity to publish research, share non-proprietary code, and present at conferences Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: • Competitive compensation with equity and 401k, • Comprehensive healthcare with dental and vision coverage, • Flexible paid time off and paid holiday time off, • 12 weeks of new parent or family leave Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range$219,000—$280,000 USD

Job DescriptionAbout usMythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications—whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from –40 °ree;C to +125 °ree;C, making it ideal for industrial, automotive, aerospace, and defense. We’ve raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets. About the roleJoin us in advancing the MLIR ecosystem at Mythic. You’ll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that bridge to our current IRs. Working closely with hardware engineers and ML developers, your work will expand interoperability with PyTorch and other frameworks, laying the groundwork for long-term innovation. The result: an MLIR-based stack that unifies hardware constraints with developer needs and accelerates adoption of modern ecosystems.Here's what you will do • Architect the migration of the existing compiler flow into MLIR, defining dialects, passes, and lowering strategies., • Build conversion paths between MLIR and Mythic’s custom low-level IR to keep both flows operational during migration., • Define validation infrastructure within MLIR, including interpretation or execution paths for simulation and debugging., • Enable compilation by extending MLIR integration across analog accelerators and digital subsystems., • Leverage Torch-MLIR where PyTorch inputs are available, and guide future integration with PyTorch 2.0 compiler technologies (TorchInductor, TorchDynamo, Torch-MLIR)Here's the background we hope you will have, • 3+ years of experience in compiler or high-performance systems development., • Proficiency in modern C++ (C++14/17/20) and Python., • Direct, hands-on experience with MLIR, including dialect design, compiler passes, or lowering pipelines., • Strong understanding of compiler IRs and transformations, with the ability to reason about lowering from high-level ops to hardware-aware representations.The following would be nice to have, but is not required, • Experience architecting complete MLIR flows: from frontend dialects down to hardware-aware dialects, including conversion to and from existing IRs., • Familiarity with PyTorch compiler technologies, especially Torch-MLIR and integration paths with PyTorch 2.0 (TorchDynamo, TorchInductor)., • Knowledge of dataflow architectures, scheduling, and memory orchestration., • Background in heterogeneous or specialized accelerators (e.g., analog compute, NPUs, GPUs, DSPs).What we offer, • Shape the MLIR and PyTorch integration strategy for novel AI hardware., • Opportunity to contribute upstream and influence the broader ML compiler ecosystem., • Collaborate with a team spanning hardware, runtime, and compiler design., • Competitive compensation, equity, and comprehensive benefits.At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.

Job DescriptionHow We Work: Core Principles at ASAPP At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey. ASAPP’s Generative Agent team is seeking an enterprising, experienced and curious ML engineer to help lead major technical initiatives and explorations. This role will be focused on building our products, being a technical leader for teams that are architecting and engineering systems, and straddling between engineering and research to bring in innovations. Candidates should have demonstrated skill in architecting and creating scalable production-grade products that are built around LLMs, with intimate knowledge of technical details from data pipelines to modeling and the design of features that leverage model capabilities. Candidates will be expected to regularly interface with Research teams and should be comfortable charting out research roadmaps and brainstorming ideas. Additionally, candidates should be comfortable providing technical leadership, mentoring for junior engineers and would be expected to be hands-on in the development process.What you'll do • Play a major role in building products leveraging the latest innovations around LLMs and agentic systems, • Work closely with teams across ASAPP, including Product, Research and Platform / Infrastructure, • Keep up with and apply the latest innovations from the NLP / Speech community that could impact our productRequired Qualifications, • Strong architectural skills, with proven experience designing complex software systems, • Strong engineering skills, with at least an intermediate level skill in Python, • Demonstrated ability in leading technical teams, • Experience implementing technical solutions, tackling tough engineering problems to help build our products, • Experience building and deploying production ML models to solve real-world problems, • Experience bringing cutting-edge innovation to production, • A Master’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience, • Desire to learn new things, work closely with peers from different teams, and open to teach and learn from othersNice to Have, • A Masters degree in CS and / or at least 15 years of experience building scalable enterprise software, • Experience building AI products for the enterprise market

Job DescriptionRole Objective Work closely with contract manufacturers (CM), vendors, and suppliers to develop test plans, design and maintain test equipment, manual or automated test execution, resolve manufacturing test issues, as well as test line bring up.Role & Responsibilities • Work with internal teams and CMs to create and improve manufacturing test procedures and resolve manufacturing test issues, • Bring Up new CM using standard/proven manufacturing processes, • Support internal operations, root cause analysis, and escalate issues to hardware and software engineering teams to drive continuous improvementDaily tasks:, • Resolve technical issues related to manufacturing, test fixture design/fabrication/bring up, • Streamline manufacturing processes to improve efficiency, • Create standard operating procedures (SOP) for manufacturing testing and drive continuous improvements, • Support internal repair teams and escalate issues to engineering team as neededSkills/Qualifications, • Education: Bachelor's degree in Electrical Engineering, Software Engineering, • 4+ years experience working with CMs in manufacturing field with focus on manufacturing testing and test methodology and software development, • Familiarity with Linux and ChromeOS operating systems, • Ability to write simple test scripts using bash, python, • Ability to read electrical schematics, CAD drawings, • Experience with debugging circuits with embedded software and log analysis, • Experience with test automation, test equipment such as oscilloscope, Digital Multimeters (DMM), etc, • Excellent communication and documentation skillsGood skills to have, • Ability to solder through-hole and SMT parts

Job DescriptionSalary: $100,000 to $130,000 System Application Engineer Credo is seeking a System Application Engineer to join our Application Engineering Team. In this role, you will be responsible for verifying and validating post-silicon high-speed SerDes Ethernet products. You will develop high-efficiency Python automation scripts, test and evaluate chip performance in various system-level environments, and implement and improve SerDes algorithms and performance. This position requires close collaboration with Design, Production, and Firmware teams to ensure optimal chip performance under different operating conditions. You will analyze and debug high-speed systems using sampling oscilloscopes, BERT (Bit Error Rate Testers), and other specialized high-speed testing equipment. Key Responsibilities: • Develop automation test scripts and SerDes algorithms in Python and C., • Perform system-level verification and validation under different testing environments., • Analyze and debug high-speed systems across various data rates., • Collaborate with cross-functional teams to generate stable firmware with SerDes algorithms., • Develop SLT (System Level Test) scripts and work with the Production team to execute high-volume sample testing., • Generate comprehensive reports based on test results and analysis., • Support customers with internal chip and IP evaluations and product demonstrations. Basic Qualifications: • Masters Degree in Electrical Engineering, Computer Engineering or related major with 1+ years of experience., • Proficiency in Python programming with ability to understand and develop code under available structures., • Basic knowledge in DSP and Digital Design., • Experience with handling and running high-speed test equipment., • Team oriented with strong analytical skills, self-driven with desire to deliver beyond the scope of each job., • Excellent multitasking abilities to manage multiple concurrent projects, • Strong Multi-tasking skills to handle different requests. Preferred Skills: • Master Degree in Electrical Engineering, Computer Engineering or related major with 3+ years of experience., • Experiences with C and Firmware Development, familiar with Git., • Knowledge in Ethernet top level including Retimer, Bitmux, MAC/PCS and MAC/Sec is a plus., • Excellent problem-solving abilities and analytical thinking, and ability to handle and adapt in new generations of technologies., • Strong teamwork orientation and collaborative approach., • Skills in developing automation test scripts for link-up, training and diagnostics is a plus.

Job DescriptionPlus, also known as 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. We’re looking for a machine learning engineer to train and deploy the latest generation of ML-based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet. Responsibilities • Use complex map and perception sensor output to develop novel deep learning models for our planning stack., • Design critical safety checks to ensure driving trajectories are feasible and follow rules of road., • Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments., • Track and incorporate the latest multidisciplinary research advancements in a fast-moving field., • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.Required Skills, • BS, MS, or PhD in Software, Robotics, or related field, • 4+ years of machine learning engineering experience for robotics applications, • Experience developing high-quality software from design and implementation to testing and deployment., • Expertise with Python, willingness to do some C++ development as needed., • Experience training with modern frameworks (e.g. PyTorch), • A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics., • Hands-on familiarity with cloud data ingestion pipelines, • Strong communication and collaborative skillsSalary Range

Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine. We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.Key Responsibilities: • Design, develop, optimize, and maintain software systems for the entire foundation model development and deployment lifecycle (i.e., data pipeline, pre-training, fine-tuning, serving)., • Build and maintain scalable, efficient, and reusable codebases for large-scale foundation model training, adaptation, evaluation, and inference., • Collaborate closely with data engineers and research scientists to integrate models into production environments., • Implement and ensure best practices in software engineering, including code quality, testing, and documentation., • Build and optimize robust back-end systems, APIs, and databases to support complex workflows., • Ensure code quality, scalability, and performance through rigorous testing and code reviews.Qualifications:, • Bachelor’s, Master’s degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus., • Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton)., • Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed., • Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes)., • Have direct ML Ops platform experience, such as kubeflow pipelines, argo workflows, apache airflow, or metaflow., • Proficiency in back-end frameworks like Django, Flask, or Node. js, and database technologies (e.g., PostgreSQL, MongoDB)., • Expertise in distributed systems, cloud computing (AWS, GCP), and containerization tools (Docker, Kubernetes).Preferred Qualifications:, • Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus., • Prior experience pre-training or serving large language models or large-scale foundation models., • Experience with deep learning workflows., • Knowledge of biological data types and challenges and experience with bioinformatics tools., • Familiarity with version control systems like Git and CI/CD pipelines., • Strong understanding of RESTful APIs, authentication, and deployment pipelines

Job DescriptionPivotal 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, the first light eVTOL to fly manned missions and enter the consumer market. Efficient, compact, and simple, Pivotal vehicles are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been in development, preparing to enter the market for over 10 years. We recently announced our next-generation aircraft, the Helix, planned for general release and scalable production in 2025. Mobility is one of the most highly-valued areas of technology investment today. This is the right company, in the right space, the right strategy, at the right time. We invite you to join our amazing team and grow with us. You are responsible for planning, coordinating, and executing flight test activities to validate the performance, handling qualities, and safety of our UAS and crewed eVTOL aircraft. This includes developing detailed test plans and procedures, supporting ground and flight tests, and analyzing results to ensure accurate data capture and reporting. You work cross-functionally with engineering, flight operations, and certification teams to ensure all testing aligns with program milestones and regulatory requirements. A strong focus on safety, technical excellence, and continuous improvement is essential in this role as we progress toward certification and commercial operation.Role Responsibilities • Become a flight test leader and technical subject matter expert in novel eVTOL aircraft., • Lead, coach and mentor Pivotal’s flight test efforts based on established experience and expertise., • Immerse yourself in the design, test, operation, and maintenance of our aircraft, • Develop expertise with the technical aspects our aircraft systems and subsystems, • Strategize and collaborate planning between the flight test and engineering teams to develop and execute UAS and crewed flight testing., • Some travel required., • Analyze performance of aircraft electronics and other components for operational and reliability issues, • Troubleshoot and perform repairs and upgrades, • Suggest and/or implement design and process improvements, • Compile and document findings, results of tests, quality or safety concerns, • Keep aircraft fleet flight-ready., • This position includes the opportunity to train to become a BlackFly pilot through our BlackFly training program. Minimum Qualifications, • Passion for aviation and flight testing, • B.S. or M.S. in Mechanical, Aerospace, or Mechatronics Engineering, • 5+ years of flight testing experience with new and novel aircraft designs, configurations, and equipment, • Proven experience leading all aspects of flight testing projects from inception to completion, • Strong understanding of envelope expansion testing methods, flight test hazard and risk analysis, flight test engineering professional development, flight test telemetry methods and procedures., • Strong understanding of Flight Testing and Aerospace Engineering fundamentals,, • Experience using rigorous scientific methods for testing and troubleshooting aircraft systems, • Proficient with flight test data analysis and flight test documentation, • Able to write technical flight testing documents in a clear and concise manner, • Proficient with solid-modeling CAD software (preferably CATIA) and 2D documentation, • Ability to travel to local test sites to support flight testing, • Excellent interpersonal skills and ability to effectively communicate with colleaguesPreferred Qualifications, • Long course (or equivalent) training from an SETP recognized test pilot school, • Experience with aircraft certification flight testing, • Experience with aircraft development for DoD, • FAA Part 107 certificate, • FAA private or commercial pilot certificate, • Class II or III FAA medical certificate, • Flight Test DER or ODA unit member, • Familiarity with electric propulsion batteries, motors, motor controllers, • Programming and coding experience (Matlab and/or Python), • Advanced Google Sheet or MS Excel skills, • Familiarity with FAA Order 4040.26C and ARP 4754Attributes aligned with Core Values, • Demonstrates a proactive safety mindset by embedding safety into daily operations, identifying and mitigating risks through assessments and training, encouraging open dialogue on safety concerns, and continuously improving protocols to ensure a safe work environment., • Puts customers at the center of every action by deeply understanding their challenges, delivering exceptional value, and striving to exceed expectations to support their success as our core purpose., • Actively seeks and values diverse stakeholder perspectives, builds cross-functional relationships, and fosters trust through empathetic, fact-based communication—committing to shared decisions for the greater good., • Drives results with clarity and purpose by focusing on what matters most, adapting to change, taking initiative, and owning outcomes while aligning actions with a clear understanding of success at every level., • Navigates ambiguity with resilience and bold thinking, challenges the status quo, and combines innovative ideas with practical best practices to overcome obstacles and drive progress.

Job DescriptionReady to make connectivity from space universally accessible, secure, and actionable? Then you’ve come to the right place! At E-Space, we’re focused on bridging Earth and space with the world’s most sustainable low Earth orbit (LEO) satellite network. We’re a team of bold thinkers, ambitious leaders and dynamic doers—and we’re disrupting NewSpace by fundamentally changing the design of legacy LEO space systems to deliver entirely new satellite capabilities at a fraction of the cost. We’re intentional, we’re unapologetically curious and we’re 100% committed—to saving space, to protecting our planet and to turning connectivity into actionable intelligence.What you will be doing: • Expand our footprint within existing cloud platform resources within AWS/Azure, • Implement and expand use of secure platform infrastructure (e.g., Kubernetes), • Implement robust monitoring, alerting, and logging systems using tools like Prometheus, ELK Stack, or Datadog., • Deploy and manage Database deployments to ensure uptime and scalability, • Build a suite of CI/CD tool via Atlassian's BitBucket that can be leveraged across the company, • Work closely with IT, Mission Ops and Test team to ensure ease of application deployments and accessibility What you bring to this role:, • At least 5+ years of experience in Platform, DevOps, or SRE roles, • Strong foundation and experience with cloud platforms (AWS/Azure)., • Proficiency in Infrastructure as Code (Terraform, OpenTofu)., • Experience with Kubernetes, Helm and container orchestration tools., • Solid understanding of networking, security, and system architecture principles., • Strong Python and Bash scripting/programming skills.Extra bonus points for the following:, • Experience with Zero Trust Networking (ZTNA) or VPN solutions. The estimated range is meant to reflect an anticipated salary range for the position in question, which is based on market data and other factors, all of which are subject to change. Individual pay is based on location, skills and expertise, depth of relevant experience, and other relevant factors. For questions about this, please speak to the recruiter if you decide to apply for the role and are selected for an interview.This is a full time, exempt position, based out of our Saratoga office. The target base pay for this position is $100,000 - $165,000 annually. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. We are redefining how satellites are designed, manufactured and used—so we’re looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that’s your experience – then we’ll be immediately wow-ed. E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role.

Job DescriptionWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Senior Flight Test Engineer at Reliable Robotics, you will be a part of the Flight Test and Integration team. The Flight Test and Integration team is responsible for multiple installation and test efforts at Reliable Robotics. The team regularly ensures the proper function of mechanical, electrical, and flight control systems onboard the aircraft. In addition, this team has ownership over all ground and flight test operations within the organization. The team is composed of individuals with experience developing experimental and certification products. Responsibilities In your role as Senior Flight Test Engineer, you will verify the function and capabilities of modified flight control systems, for a remotely operated autoflight system. You will ensure the proper build-up of functions and capabilities, beginning in the lab and ending up on the vehicle. You will be expected to verify the end-to-end functionality of the system and ensure the ability to assess all desired test requirements. This will require engaging with many teams throughout the organization and having a firm understanding of the vehicle’s capabilities. As part of the flight test campaigns, you’ll act as the responsible engineer for the vehicle and often as test director. Basic Success Criteria • Bachelor’s Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline, • 7+ years of experimental flight test experience, • Prior experience drafting test plans, test cards, test hazard analyses, and acting as test director during a flight/mission, • Experience with making aeronautical VHF radio calls, • Demonstrated ability to complete system-level risk assessmentsPreferred Success Criteria, • FAA private pilot’s (or greater) license, • Experience assembling components in a production environment

Job DescriptionAbout CyngnBased in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: We are small and big.With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity. We build today and deploy tomorrow.Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact. We aren’t robots. We just develop them.We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation. About this Role:As the Staff Software Engineer for our SaaS platform team, you will be crucial in developing Cyngn's cutting-edge fleet management system for autonomous industrial vehicles. You'll collaborate with product and engineering teams to design, implement, deploy, and maintain a robust cloud-based solution that enables real-time control and monitoring of autonomous vehicles in the field. Your expertise will be instrumental in creating a scalable, high-performance system that empowers our customers to optimize their automated workflows and maximize operational efficiency.What you will do in this role • Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles, • Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making, • Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems, • Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets, • Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features, • Ensure system reliability, security, and compliance with industry standards and regulations, • Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement, • Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions, • Mentor junior developers and contribute to the technical growth of the engineering team, • Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance, • Engage with customers to understand their needs and translate them into technical requirementsWho you are, • 10+ years of software development experience, with a strong focus on backend systems and distributed architectures, • Extensive experience in building and scaling cloud-native SaaS platforms, preferably in the IoT or robotics domains, • Expert-level proficiency in at least one of Python, Go, Java, or C++, with working knowledge of others, • Deep understanding of cloud technologies and services (AWS, Azure, or GCP), • Proven experience with event-driven architectures and message queuing systems (e.g., Kafka, RabbitMQ, Apache Pulsar), • Strong background in database design and optimization, including both SQL and NoSQL solutions, • Proficiency in developing scalable WebSocket-based real-time communication systems, • Expertise in developing real-time data processing pipelines and analytics systems, • Proficiency with containerization and orchestration technologies (Docker, Kubernetes), • Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform, GitOps), • Track record of leading development teams and mentoring junior developers, • Excellent problem-solving skills and ability to optimize complex systems, • Strong communication skills and ability to explain technical concepts to non-technical stakeholders, • Strong collaboration skills with a low egoNice to haves, • Experience with IoT platforms, robotics frameworks (e.g., ROS), or autonomous vehicle technologies, • Solid understanding of network protocols and communication standards relevant to IoT and autonomous systems, • Knowledge of AMQP, MQTT, DDS, or other IoT-specific communication protocols, • Experience with time-series databases (e.g., InfluxDB, TimescaleDB) for handling large volumes of sensor data, • Familiarity with edge computing and fog architectures, • Experience with real-time operating systems and embedded software development, • Expertise in building and maintaining scalable API platforms, • Experience with geospatial data processing and mapping technologies, • Knowledge of fleet management software and vehicle telematics systems, • Experience with simulation environments for autonomous systems testingBenefits & Perks, • Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge), • Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums), • Company 401(k), • Commuter Benefits, • Flexible vacation policy, • Remote or hybrid work opportunities, • Sabbatical leave opportunity after five years with the company, • Paid Parental Leave, • Daily lunches for in-office employees

Job Description We are CARIAD, an automotive software development team with the Volkswagen Group. Our mission is to make the automotive experience safer, more sustainable, more comfortable, more digital, and more fun. To achieve that we are building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year. We're looking for talented, digital minds like you to help us create code that moves the world. Together with you, we'll build outstanding digital experiences and products for all Volkswagen Group brands that will transform mobility. Join us as we shape the future of the car and everyone around it. Role Summary: The Staff Hardware Engineer, Radio Frequency is responsible for the development, testing, and optimization of RF systems and circuits within CARIAD's Hardware Platform Development team. This role requires expertise in RF design, antenna tuning, EMI/EMC mitigation, and system integration to ensure high-performance wireless communication and signal integrity in hardware products. Role Responsibilities: RF Design & Development • Design, simulate, and optimize RF circuits, antennas, and transmission lines for high-frequency applications., • Select, tune, and integrate antennas to ensure optimal wireless performance and signal integrity in hardware designs. Supports PCB design for RF applications, ensuring best practices for high-frequency layout., • Develops RF system architectures, considering noise reduction, impedance matching, and power efficiency for reliable signal transmission, • Assists in supplier evaluation and selection of RF components, based on manufacturability and compliance with industry standards., • Conducts RF measurements and performance evaluations using network analyzers, spectrum analyzers, and signal generators to verify circuit functionality, • Diagnoses and troubleshoots RF-related hardware issues, including signal integrity and interference challenges., • Supports EMI/EMC compliance testing and mitigation, ensuring products meet regulatory standards (FCC, CE, etc.)., • Develops and executes RF test plans, ensuring system reliability under various real-world operating conditions., • Analytical and conceptual thinking, • Experience in developing strategies for R&D, • Communication skills - interpersonal, presentation and written, • Integration - joining people, processes or systems, • Influencing and negotiation skills, • Proficiency in using RF test equipment (e.g., network analyzers, spectrum analyzers, signal generators), • Strong understanding of RF circuit design, impedance matching, and transmission line theory, • Experience in PCB design for RF applications, including layout best practices for high-frequency circuits, • Familiarity with wireless communication standards (e.g., Wi-Fi, Bluetooth, LTE, 5G)., • Knowledge of EMI/EMC mitigation techniques for RF systems. Knowledge of embedded system software architecture, real-time operating systems, and web framework components and its interfaces, • Knowledge of connected HPC software components and its peripherals, • Knowledge of connected vehicle infotainment and communication software systems., • Experience with RF simulation tools (e.g., ADS, HFSS, CST, or similar), • Knowledge of low-noise amplifiers (LNA), power amplifiers (PA), and RF filters, • Experience in automated RF testing and scripting (Python, MATLAB) Salary range is dependent on factors such as geographical differentials, credentials or certifications, industry-based experience, qualification and training. In the city of Mountain View, California, the salary range for this position is $194,670- $282,735. CARIAD, Inc. provides performance based merits and annual bonus along with a competitive benefits package. Benefits include medical, dental, vision, 401k with employer match and defined contribution plan, short and long term disability, basic life and AD&D insurance, employee assistance program, tuition reimbursement and student loan repayment plans, maternity and non-primary caregiver leave, adoption assistance, employee referral program and vacation and paid holidays. We also offer a unique vehicle lease program that covers registration and insurance fees. CARIAD is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws. Employment with CARIAD Inc. is subject to export control and sanctions compliance. Some positions may involve access to technology and/or software source code subject to U.S. legal restrictions on release to certain foreign persons based on citizenship or permanent residence. To ensure compliance, applicants will be required to provide information for screening. Employment may be contingent on the outcome, including verification of U.S. citizenship or lawful permanent resident status, or confirmation that a license, exemption, or exception applies. CARIAD retains the discretion to decline to obtain a required license in any case. By applying, you acknowledge and agree to participate in this process.

Job DescriptionAbout Meshy Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1. Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding. Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models. Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations. About the RoleWe are seeking a Data Infrastructure Engineer to join our growing team. In this role, you will design, build, and operate distributed data systems that power large-scale ingestion, processing, and transformation of datasets used for AI model training. These datasets span traditional structured data as well as unstructured assets such as images and 3D models, which often require specialized preprocessing for pretraining and fine-tuning workflows.This is a versatile role: you'll own end-to-end pipelines (from ingestion to transformation), ensure data quality and scalability, and collaborate closely with ML researchers to prepare diverse datasets for cutting-edge model training. You'll thrive in our fast-paced startup environment, where problem-solving, adaptability, and wearing multiple hats are the norm.What You'll Do： • Core Data Pipelines, • Design, implement, and maintain distributed ingestion pipelines for structured and unstructured data (images, 3D/2D assets, binaries)., • Build scalable ETL/ELT workflows to transform, validate, and enrich datasets for AI/ML model training and analytics., • Distributed Systems & Storage, • Architect pipelines across cloud object storage (S3, GCS, Azure Blob), data lakes, and metadata catalogs., • Optimize large-scale processing with distributed frameworks (Spark, Dask, Ray, Flink, or equivalents)., • Implement partitioning, sharding, caching strategies, and observability (monitoring, logging, alerting) for reliable pipelines., • Pretrain Data Processing, • Support preprocessing of unstructured assets (e.g., images, 3D/2D models, video) for training pipelines, including format conversion, normalization, augmentation, and metadata extraction., • Implement validation and quality checks to ensure datasets meet ML training requirements., • Collaborate with ML researchers to quickly adapt pipelines to evolving pretraining and evaluation needs., • Infrastructure & DevOps, • Use infrastructure-as-code (Terraform, Kubernetes, etc.) to manage scalable and reproducible environments., • Integrate CI/CD best practices for data workflows., • Data Governance & Collaboration, • Maintain data lineage, reproducibility, and governance for datasets used in AI/ML pipelines., • Work cross-functionally with ML researchers, graphics/vision engineers, and platform teams., • Embrace versatility: switch between infrastructure-level challenges and asset/data-level problem solving., • Contribute to a culture of fast iteration, pragmatic trade-offs, and collaborative ownership.What We're Looking For：, • Technical Background, • 5+ years of experience in data engineering, distributed systems, or similar., • Strong programming skills in Python (plus Scala/Java/C++ a plus)., • Solid skills in SQL for analytics, transformations, and warehouse/lakehouse integration., • Proficiency with distributed frameworks (Spark, Dask, Ray, Flink)., • Familiarity with cloud platforms (AWS/GCP/Azure) and storage systems (S3, Parquet, Delta Lake, etc.)., • Experience with workflow orchestration tools (Airflow, Prefect, Dagster)., • Domain Skills (Preferred), • Experience handling large-scale unstructured datasets (images, video, binaries, or 3D/2D assets)., • Familiarity with AI/ML training data pipelines, including dataset versioning, augmentation, and sharding., • Exposure to computer graphics or 3D/2D data processing is strongly preferred., • Mindset, • Comfortable in a startup environment: versatile, self-directed, pragmatic, and adaptive., • Strong problem solver who enjoys tackling ambiguous challenges., • Commitment to building robust, maintainable, and observable systems.Nice to Have：, • Kubernetes for distributed workloads and orchestration., • Data warehouses or lakehouse platforms (Snowflake, BigQuery, Databricks, Redshift)., • Familiarty GPU-accelerated computing and HPC clusters, • Experience with 3D/2D asset processing (geometry transformations, rendering pipelines, texture handling)., • Rendering engines (Blender, Unity, Unreal) for synthetic data generation., • Open-source contributions in ML infrastructure, distributed systems, or data platforms., • Familiarity with secure data handling and complianceOur Values, • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry., • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward., • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage., • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.Why Join Meshy?, • Competitive salary, equity, and benefits package., • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology., • Flexible work environment, with options for remote and on-site work., • Opportunities for fast professional growth and development., • An inclusive culture that values creativity, innovation, and collaboration., • Unlimited, flexible time off.Benefits, • Competitive salary, benefits and stock options., • 401(k) plan for employees., • Comprehensive health, dental, and vision insurance., • The latest and best office equipment.

Job DescriptionCompany Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit . Role Overview ID.me is seeking a Staff GRC Engineer to lead the technical infrastructure build, management, and tooling supporting Governance, Risk, and Compliance operations. This individual will design, build, and maintain automation and tooling that streamline control testing, continuous monitoring, evidence collection, and compliance reporting. As a Staff GRC Engineer, you'll turn governance and compliance into systems: codified controls, automated evidence, and opinionated guardrails that keep pace with rapid feature development and refactoring. You'll partner tightly with Security Engineering, Product/AppSec, Privacy, IT, and ERM to prevent compliance drift and make the secure path the paved path. As the technical owner of the GRC platform, the Senior GRC Engineer will architect data relationships, automate control workflows, and integrate evidence sources from security tools. Your north star is reduced manual effort, lower the cost and burden of compliance, and improve audit readiness through technical innovation. This is a fully onsite position in one of our hub locations (Mountain View CA or McLean VA). Key Responsibilities • Compliance-as-code & guardrails, • Translate NIST 800-53r5 (FedRAMP Moderate), ISO/IEC 27001:2022, and SOC 2 controls into testable checks (e.g., OPA/Rego, Conftest, Checkov, InSpec) integrated with CI/CD and infrastructure-as-code (Terraform, Helm)., • Build pre-release gates tied to control impact (e.g., boundary changes, data flows, authz patterns) and publish "green paths" via reusable modules and reference architectures., • Automation & evidence, • Engineer integrations (Python/TypeScript, APIs, webhooks) to continuously collect evidence from GCP/GKE, AWS/K8s, GitHub, Jira, Okta, endpoint/EDR, vuln scanners, and code scanning tools., • Maintain a single source of truth for the control catalog, mappings, and tests; drive KCI/KRI dashboards and near-real-time conformance reporting., • FedRAMP operations, • Support ConMon operations (scan results, inventory, change logs), POA&M lifecycle, and programmatic SSP updates (OSCAL/OpenControl where possible) so authorization posture keeps pace with releases., • Coordinate with 3PAO/assessors and support artifacts for audits (SOC 2 Type II, ISO surveillance)., • Design-stage coverage, • Embed lightweight threat modeling and control checkpoints in early design (intake forms, templates, design reviews); track exceptions and time-boxed compensating controls., • Risk & vendor oversight, • Support code and data management for FAIR-informed risk analysis and treatment plans., • Partner with TPRM control automation and system interoperability.Basic Qualifications, • 5+ years of experience in Security Engineering, DevOps, GRC Engineering, or Security Automation., • Practical experience automating controls/evidence and familiarity with programmatic evidence lifecycle management, system-of-record validation, and compliance data architecture., • Scripting/engineering proficiency (Python or TypeScript), REST APIs, JSON/YAML, Git, and basic SQL., • Working knowledge of NIST 800-53r5, ISO 27001, and SOC 2; you can map controls across frameworks and test them., • Strong documentation skills and stakeholder communication across Security, Product, and Compliance., • Demonstrated ability to translate compliance requirements into logical rules, controls, and technical implementation plans., • Experience integrating tools such as CrowdStrike, Tenable, Splunk, Nessus, Jira, or AWS Config into automated evidence collection pipelines.Preferred Qualifications, • Experience with major compliance frameworks such as NIST 800-53, FedRAMP, ISO 27001, SOC 2, or HIPAA., • Experience designing conditional logic for control outcomes, audit workflow triggers, or continuous control monitoring., • Experience with CI/CD workflows or Infrastructure-as-Code tools (e.g., Terraform, Jenkins) as part of compliance automation., • Ability to visualize and communicate compliance insights through dashboards, reports, and metrics., • Understanding of control inheritance, POA&M management, and risk acceptance workflows in regulated environments. #LI-JS1 The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. U.S. Pay Range$175,000—$238,425 USDMountain View, CA Pay Range$208,197—$258,750 USD ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

Job DescriptionThe role of the Silicon DDR Bring-up and Validation Engineer involves the initiation and validation of the DDR subsystems within Rivos SOC design. This position demands a comprehensive grasp of cutting-edge DDR design tailored for server applications, covering aspects such as physical design, logic, performance, system, and software. Responsibilities include test generation, configuring test infrastructure, planning and executing bring-up processes, and developing and executing validation plans specifically for DDR systems. Currently, the intention is to fill technical lead or senior technical staff positions for this role.Responsibilities • As a lead, you will lead an engineering team responsible for designing, implementing and executing DDR subsystem silicon bring-up plans, including functional and performance tests, to validate the subsystem for the silicon product to meet the product requirements., • Collaborate with cross-functional teams including design, architecture, firmware, and software to ensure successful subsystem bring-up and validation., • Work with vendors and partners to ensure successful subsystem bring-up and validation, including reviewing and providing feedback on vendor documentation, and coordinating with vendor support teams., • Debug and root-cause issues found during subsystem bring-up and validation, and work with cross-functional teams to implement corrective actions., • Design and execute sensitivity experiments to fine-tune and optimize DDR subsystems for enhanced performance and power efficiency., • Drive continuous improvement of subsystem bring-up and validation processes and methodologies, including automation, tool development, and documentation., • Maintain up-to-date knowledge of the subsystem technology and industry trends.Requirements, • In-depth knowledge of system architecture, performance/power, and software of DDR subsystems for server applications., • Experienced level knowledge of C/C++ and Python., • Relevant knowledge of verification methodologies, Verilog simulation, waveform viewers, and emulation., • Experience in silicon debug for logic, software, and physical issues., • Experience with lab instruments such as logic analyzers and oscilloscopes., • Strong ability to triage issues and develop environment and tools., • Excellent skills in problem solving, written and verbal communication, excellent organization skills, and highly self-motivated., • Ability to work well in a team and be productive under aggressive schedules.Education & Experience

Job DescriptionWho are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.Learn more at . About the Job As an ML Engineer at Field AI, you will help build the next-generation Field Foundation Model (FFM), powering a global fleet of autonomous robots deployed across diverse environments. Your contributions will directly shape how we scale – through advances in model architecture, training methodologies, and deployment strategies. You’ll collaborate closely with machine learning scientists, software engineers, and robotics experts to design and implement FFM capabilities that generalize across tasks and environments. Beyond model development, you’ll also support deployment and monitoring to ensure smooth integration and reliable real-world performance. This role offers the opportunity to work with cutting-edge technologies, solve complex challenges, and directly impact large-scale robot deployments.What You’ll Get To Do: • Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack., • Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making., • Leverage imitation learning and reinforcement learning to advance planning and reasoning of our models., • Explore novel data generation and collection pipelines to enrich training datasets., • Assist with deploying machine learning models into production environments, • Continuously monitor models in production, detecting model drift, and automating retraining processes as applicable, • Troubleshoot issues related to model deployment, performance, and system integration.What You Have:, • Bachelor’s or Master’s degree in Computer Science, AI, Statistics, or related field., • Strong experience with Python and modern ML frameworks (PyTorch, TensorFlow, JAX)., • Deep understanding of contemporary deep learning architectures, optimization, and evaluation., • Proven experience deploying ML models into production (robotics, self-driving, or NLP preferred)., • Hands-on expertise in imitation learning and reinforcement learning., • Working knowledge of C++ for deployment and system integration.The Extras That Set You Apart: We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status.

Job DescriptionCompany Description We at IBA InfoTech find the Hidden Talent across the globe. We connect caliber candidates with leading companies in contract, contract-to-hire and direct-hire positions in various industries - Oil & Gas, Energy, Telecommunications, Transportation, Business & Finance, Retail, Hospitality and Insurance. Job Description Role: (RTL) Design Engineer Location: Santa Clara, CA (Hybrid negotiable) Interview: Phone/Skype We're looking for a seasoned RTL engineer with 7+ years of experience in #RTLDesign #Verilog #VLSI #CDC #STA #Synthesis #DFT #Python #TCL #AMBA #PCIe #LowPowerDesign to contribute across design, coding, debugging, and optimization of digital blocks. #SemiconductorJobs #HardwareDesign #LogicEngineering #RTL #SantaClaraHiring Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionArray Labs designs, builds and operates the world’s most advanced radar satellites – including the first satellites specifically designed for multistatic operation – enabling powerful new capabilities, including single-pass 3D imagery collection and real-time moving target indication radars. We are seeking a highly skilled and motivated Radar Engineer with Moving Target Indication (MTI) experience to join our team. The ideal candidate will play a critical role in developing innovative solutions for space-based AMTI and GMTI radar systems. This position requires expertise in radar signal processing, system design, and performance analysis to support advanced radar applications.Reponsibilities • Design and prototype MTI algorithms, taking advantage of our unique multistatic configuration, • Productionize radar system architectures for space-based MTI applications, ensuring performance, scalability, and reliability, • Analyze radar system performance metrics such as detection probability, false alarm rates, clutter suppression, and tracking accuracy, • Develop and utilize simulation tools to model radar system behavior and validate design choices, • Work closely with cross-functional teams, including software engineers, hardware engineers, and program managers, to ensure successful system integration and deployment, • Prepare technical reports, presentations, and documentation to communicate findings and recommendations to stakeholdersBasic qualifications, • Bachelor’s degree in Electrical Engineering or a related field, • Experience with radar system modeling and simulation, • Proficiency in Python, C/C++, or MATLAB, • Excellent teamwork and communication skills, • Learn new concepts rapidly, completely, and in a self-directed manner, • High levels of self-motivation and personal accountability, • Ability to work in a fast-paced environment under significant time constraints, • Must currently hold or be able to maintain a U.S Department of Defense (DoD) Secret level security clearancePreferred skills and experience, • Master’s or Ph.D. in Electrical Engineering or a related field, • 5+ years of experience in radar systems engineering, with a focus on moving target detection and indication, • Strong knowledge of MTI principles, including Doppler processing, clutter suppression, space-time adaptive processing (STAP), • Experience with GMTI, AMTI, and/or moving target detection, • Experience with bistatic and/or multistatic radar systems, • Experience with military or defense radar systemsCitizenship requirements, • U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions, • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.Equal Opportunity Employer

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role Crusoe is building its next-generation orchestration platform to power GPU-accelerated and high-performance computing at scale. As a Staff Software Engineer on the Managed Orchestration team, you will shape the technical direction of our managed Kubernetes service, delivering systems that allow customers to run advanced workloads across CPUs, NVIDIA and AMD GPUs, and high-performance networking environments. You’ll drive architecture and design for complex, distributed systems that integrate GPU operators, network operators, and CNI technologies (Cilium, Calico, Multus) with Kubernetes, while also supporting high-performance fabrics such as InfiniBand and RoCE. This role requires a blend of deep technical expertise, architectural leadership, and the ability to influence cross-functional teams to deliver reliable, scalable, and secure orchestration for mission-critical workloads. What You'll Be Working On: * Lead architecture and design for core features of Crusoe’s Managed Kubernetes platform (multi-tenancy, control plane scalability, cluster lifecycle, and high availability). * Drive integration of GPU acceleration in Kubernetes, including device plugin architecture, GPU operators, scheduling, autoscaling, and monitoring. * Guide development of advanced container networking capabilities, including CNI plugins, network operators, service meshes, and high-performance fabrics (InfiniBand, RoCE). * Define and enforce best practices for security, multi-cluster deployments, and workload isolation across compute, GPU, and networking layers. * Partner with product and engineering leadership to set long-term technical strategy and roadmap for CMK. * Mentor engineers across the organization, providing technical guidance and elevating standards for design, code quality, and operational excellence. * Troubleshoot and resolve complex distributed systems challenges spanning compute, networking, and GPU acceleration. * Contribute to and represent Crusoe in open-source communities (Kubernetes SIGs, CNCF projects, GPU and networking ecosystem). What You'll Bring to the Team: * 8+ years of software engineering experience in distributed systems, cloud, or HPC. * Proven track record of technical leadership and driving architecture in production systems. * Deep expertise in Kubernetes internals (control plane, operators, API machinery, scheduling). * Strong proficiency in Go (preferred) or another systems language (Rust, C++, Python for HPC tooling). * Extensive experience with GPU integration in Kubernetes (device plugins, GPU operators, resource allocation). * Strong knowledge of container networking (Cilium, Calico, Multus, service meshes) and Linux networking fundamentals. * Familiarity with high-performance networking technologies (InfiniBand, RoCE) and accelerator-aware scheduling. * Excellent debugging, systems design, and problem-solving skills in distributed systems. Bonus Points * Familiarity with both NVIDIA and AMD GPU stacks (CUDA, ROCm, NCCL). * Experience with Slurm, MPI, Ray, or distributed ML frameworks (TensorFlow, PyTorch, JAX). * Contributions to open-source projects in the Kubernetes, GPU, or networking ecosystems. * Experience scaling multi-cluster environments and managing interconnects across data centers. * Background in security for Kubernetes and GPU workloads (RBAC, PodSecurity, runtime scanning). Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation Range: Compensation will be paid in the range of $204,000 - $247,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description As a Principal Engineer for HPC and AI Infrastructure, you’ll take a lead role in designing the low-level systems that maximize GPU utilization across large, mission-critical workloads. Working within our GPU Runtime & Systems team, you’ll focus on device drivers, kernel-level optimizations, and runtime performance to ensure GPU clusters deliver the highest throughput, lowest latency, and greatest reliability possible. Your work will directly accelerate workloads across deep learning, high-performance computing, and real-time simulation. This position sits at the intersection of systems programming, GPU architecture, and HPC-scale computing—a unique opportunity to shape infrastructure used by developers and enterprises worldwide. Key Responsibilities • Build and optimize device drivers and runtime components for GPUs and high-speed interconnects., • Collaborate with kernel and platform teams to design efficient memory pathways (pinned memory, peer-to-peer, unified memory)., • Improve data transfers across NVLink, InfiniBand, PCIe, and RDMA to reduce latency and boost throughput., • Enhance GPU memory operations with NUMA-aware strategies and hardware-coherent optimizations., • Implement telemetry and observability tools to monitor GPU performance with minimal runtime overhead., • Contribute to internal debugging/profiling tools for GPU workloads., • Mentor engineers on best practices for GPU systems development and participate in peer design/code reviews., • Stay ahead of evolving GPU and interconnect architectures to influence future infrastructure design. Minimum Qualifications • Bachelor’s degree in a technical field (STEM), with 10+ years in systems programming, including 5+ years in GPU runtime or driver development., • Experience developing kernel-space modules or runtime libraries (CUDA, ROCm, OpenCL)., • Deep familiarity with NVIDIA GPUs, CUDA toolchains, and profiling tools (Nsight, CUPTI, etc.)., • Proven ability to optimize workloads across NVLink, PCIe, Unified Memory, and NUMA systems., • Hands-on background in RDMA, InfiniBand, GPUDirect, and related communication frameworks (UCX)., • Strong C/C++ programming skills with systems-level expertise (memory management, synchronization, cache coherency). Preferred Qualifications • Expertise in HPC workload optimization and GPU compute/memory tradeoffs., • Knowledge of pinned memory, peer-to-peer transfers, zero-copy, and GPU memory lifetimes., • Strong grasp of multithreaded and asynchronous programming patterns., • Familiarity with AI frameworks (PyTorch, TensorFlow) and Python scripting., • Understanding of low-level CUDA/PTX assembly for debugging or performance tuning., • Experience with storage offloads (NVMe, IOAT, DPDK) or DMA-based acceleration., • Proficiency with system profiling/debugging tools (Valgrind, cuda-memcheck, gdb, Nsight Compute/Systems, perf, eBPF)., • An advanced degree (PhD) with research in GPU systems, compilers, or HPC is a plus.

Job DescriptionWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. Flight Software links together the mechanical, avionics, algorithmic, and embedded worlds to actually make the airplane fly. As a Flight Software Test V&V engineer, you will develop the test cases to support the test verification processes ensuring that the aviation products we develop are safe to fly and help provide a high-fidelity training environment for our flight-test crews. Responsibilities As a Flight Software Test V&V Engineer on the Simulation and Test Systems team, you will be instrumental in testing and deploying autonomous aircraft software. The Simulation and Test Systems team architects, builds, and maintains the hardware and software infrastructure necessary to verify aircraft performance prior to flight testing. Your responsibilities include verifying flight software functionality across diverse integrated test environments, such as software-in-the-loop (SIL), hardware-in-the-loop (HITL), and on-aircraft testing. You will also author and execute test procedures for on-ground aircraft testing. A key part of this role involves designing, building, and maintaining automated test scripts within our test ecosystem. These scripts will support functional testing and requirements-driven software tests necessary for FAA certification. This is a highly collaborative, hands-on position. You will coordinate with engineering teams throughout the company to develop test plans, execute tests, investigate issues, and drive problems to closure. You will also be responsible for the maintenance, installation, and troubleshooting of test and simulation equipment.Basic Success Criteria • 3+ years professional experience testing software, • 3+ years professional experience Python and exposure to C++ build systems, • 3+ years of experience testing integrated hardware / software products or mission-critical systems, • Experience authoring problem reports, test reproducibility steps, and procedures for internal team collaboration, • Hands on experience using laboratory electrical test equipment such as digital multimeters, oscilloscopes, and/or logic analyzers, • Demonstrated experience with root cause investigations, • Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experiencePreferred Success Criteria, • Experience working with robotics or other safety critical software, • Previous experience developing automated test cases through GitHub Actions, Jenkins, Travis CI, or other continuous integration infrastructure, • Demonstrated ability to author and exercise complex test procedures a hardware-in-the-loop (HITL) test environments, • Excellent documentation and collaboration skills In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers, and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant’s capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities * Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. * Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. * Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. * Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. * Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. * Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. * Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience * 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. * Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. * Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. * Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). * Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. * Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. * Experience in document understanding, OCR, or applied NLP. * Exposure to financial or tax-related data environments. * Startup or 01 product experience. Soft Skills * Exceptional problem-solving ability, curiosity, and product intuition. * Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. * Growth trajectory demonstrated through promotions or increasing scope of responsibility.

Job DescriptionJoin Afero and change the world, a gazillion connections at a time!Our vision is to make all the world's devices really smart and truly secure, through innovation and scale. Come make it happen. Afero is the leading PaaS for IoT manufacturers and brands, enabling connected devices to be both smart and secure. Afero built its foundation on security, data privacy, simplicity and ease of use. Today, Afero technology powers millions of devices across more than 1,000 SKUs from 50+ manufacturers, including well known brands like Defiant, Hampton Bay and EcoSmart. Afero has more than 123 patents, one of the largest IoT patent portfolios globally, and was named an 2024 IoT Breakthrough Winner for IoT Security Platform of the Year. Afero is driven by a team of world-class executives and veterans in mobile, hardware, security, consumer and cloud, leveraging experience from Google, Apple, Microsoft, Amazon, Netflix, Disney, Roku and Danger. Afero provides a fantastic opportunity to explore and to expand your expertise while driving product innovation into exciting new ecosystems. To learn more, visit . Why You’ll Want to Work With UsFor a small team, Afero engineers collectively do a little bit of everything—from cloud applications and infrastructure to mobile development on multiple platforms, to firmware on a wide range of devices, to board-level hardware design and implementation of secure wireless devices. Everyone here can follow their curiosity to broader horizons. If you enjoy deep dives into assorted technology stacks to understand end-to-end system workflows, can adapt past experiences to new solutions, and can communicate ideas clearly among diverse audiences, Afero is a fantastic opportunity to explore and to expand your expertise. What We’re Looking ForAt Afero, everyone on the team contributes a distinct perspective. We are looking for problem solvers with great skills and experience. Afero provides tight integration among mobile apps, cloud and hardware for our systems. As we scale and grow, we are looking for engineers with passion to build best in class software.Key Responsibilities • Design, develop, and maintain cloud-based services and applications for IoT solutions, • Collaborate with hardware and software engineers to integrate IoT devices with cloud platforms, • Implement scalable and secure cloud architectures that handle large volumes of data and real-time processing, • Optimize cloud services for performance, reliability, and cost-efficiency, • Develop and maintain APIs for device communication and data exchange, • Ensure data security and privacy by implementing best practices and compliance standards, • Monitor, troubleshoot, and resolve issues related to cloud services and infrastructure, • Mentor and guide junior engineers, fostering a culture of continuous learning and improvement, • Stay updated with the latest trends and technologies in cloud computing and IoT, • Some on call requiredQualifications, • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, • 7+ years of experience in software engineering, with a focus on cloud services and IoT, • Proficiency in cloud platforms such as Google Cloud (preferred), AWS, Azure, • Strong programming skills in languages such as Java (required), Python, or Go, • Experience with IoT protocols (e.g., MQTT, CoAP) and edge computing, • Knowledge of microservices architecture with a proficiency in Spring Boot and containerization (Docker, Kubernetes), • Familiarity with DevOps practices and tools (CI/CD, automation, monitoring), • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment, • Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders, • This role is a remote role available in California, Massachusetts, Georgia, and Utah. Ability to work in Los Altos CA for quarterly on-sites is preferred, • Applicants must be currently authorized to work in the United States on a full-time basisThe US base salary range for this full-time position is expected to be $200,000 - $245,000. Actual pay is determined by various factors, including work location, job-related skills and experience, relevant education, training or certifications, and other business and organizational needs. At Afero, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions depend on each case's facts and circumstances. This range reflects base salary only; Afero also offers competitive benefits and equity compensation not included in these numbers.Afero is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status.

Job DescriptionArray Labs is building a distributed radar imaging constellation to power the first accurate, real-time 3D model of the world. As a 3D Reconstruction Scientist in the Image Formation team at Array Labs, you will play a crucial role in designing and implementing state-of-the-art algorithms and techniques for reconstructing 3D images from distributed sensors. Your work will have a significant impact on the industries we serve by enabling our products to deliver highly accurate and detailed 3D models and visualizations. Responsibilities: • Research, design, and implement tomographic algorithms for 3D image reconstruction utilizing complex phase-history data from radar sensors, • Develop autofocus techniques to sharpen images affected by inaccurate position knowledge of the sensor platform, and/or phase inaccuracies caused by various hardware imperfections in our distributed sensor system, • Develop efficient data preprocessing and calibration techniques to enhance the quality and accuracy of 3D reconstructions, • Optimize algorithms for near real-time production of 3D imagery in our cloud-based production pipeline, • Collaborate with cross-functional teams to integrate 3D image reconstruction solutions into our products and services, • Conduct thorough testing, validation, and performance evaluation of 3D image reconstruction algorithms to ensure they meet end-user expectations Basic Qualifications: • Bachelor's in Computer Science, Electrical Engineering, or a related field., • 4+ years of experience in 3D image reconstruction, 3D computer vision, multi-view geometry or a related field., • Excellent teamwork and communication skills, • Learns new concepts rapidly, completely, and in a self-directed manner, • High levels of self-motivation and personal accountability, • Ability to work in a fast-paced environment under significant time constraints, • Proficient in Python, MATLAB, or C/C++ Preferred Skills and Experience: • Master’s degree in Computer Science, Electrical Engineering, or a related field., • 2+ years of experience deploying 3D image processing/generation algorithms into production pipelines, • 2+ years of experience in one or more of the following areas:- signal processing for tomographic SAR and/or interferometric SAR- Depth estimation using stereo images, multi-view geometry, or optical flow- Generating 3D images from 2D sensors.- Estimation theoretic approaches to 3D localization- Ambiguity resolution for 3D localization, • Experience adapting image processing algorithms for GPU clusters, • Experience with stochastic and adaptive signal processing techniques, • Experience extracting insights from 3D data products via AI/ML techniques, • Experience creating 3D data products from geospatial data sets is a plus ITAR Requirements: • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity Employer • Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status. Interview ProcessWe will conduct three interviews via Zoom; the typical process takes around 2-4 weeks to complete from start to finish. Hiring and Compensation StrategyOur hiring and compensation strategy is simple:

Job DescriptionWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As an Avionics Test Engineer at Reliable Robotics, you will be a part of the avionics engineering team. The avionics team is the group responsible for designing, selecting, verifying, integrating, and certifying avionics and electrical components and systems to automate unmanned aircraft under stringent civil aviation standards. The Avionics Test Engineer role will focus on verifying development and flight hardware including products such as computers, remote data concentrators, and aircraft electrical systems that support the mission to automate aircraft. Responsibilities In your role as Avionics Test Engineer, you will develop and deploy automated test solutions for complex avionics hardware ranging from early prototype designs through formal equipment qualification campaigns. You will design test benches and procedures to execute tests for applications ranging from circuit debugging up to system level verification. To do this you will also frequently coordinate with vendors, equipment, and engineers across multiple disciplines to facilitate successful verification campaigns. You will be responsible for tracking hardware issues, driving root cause and corrective action campaigns, and driving continuous improvement of our electrical test infrastructure.Basic Success Criteria • Bachelor’s degree in electrical engineering, computer engineering, or equivalent experience, • 4+ years of full cycle electronics hardware test or development experience in a professional environment, • Familiarity with programming/scripting languages (C, C++, Python), • Ability to methodically diagnose, document, and solve electronic hardware problemsPreferred Success Criteria, • Advanced degree in electrical engineering or computer engineering, • Familiarity with formal industry test standards such as RTCA DO-160, MIL-STD-461/810, or similar, • Experience with test equipment, measurement techniques, and processes for hardware verification, • Experience developing and simulating complex and manufacturable printed circuit board assemblies using tools such as Altium Designer and SPICE, • Excellent written and verbal communication skills

Job DescriptionAbout CyngnBased in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: We are small and big.With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity. We build today and deploy tomorrow.Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact. We aren’t robots. We just develop them.We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation. About this role: As a Full Stack Engineer at Cyngn, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles. You will contribute to building a scalable, high-performance SaaS platform that enables real-time control and monitoring of autonomous vehicles. Your diverse skill set will allow you to seamlessly move between backend and frontend tasks, helping to create a cohesive and efficient system that empowers our customers to optimize their automated workflows and maximize operational efficiency.What you will do in this role • Develop and maintain both backend and frontend components of our cloud-based fleet management system, • Collaborate with Backend and Frontend Tech Leads to implement new features and improve existing functionality, • Write clean, efficient, and maintainable code in languages such as Python, Go or Java for backend, and React, Redux and TypeScript for frontend, • Contribute to the design and implementation of RESTful APIs and real-time data processing pipelines, • Assist in developing and optimizing database schemas and queries for both SQL and NoSQL databases, • Implement responsive and intuitive user interfaces, • Contribute to the development of advanced mapping features and geospatial data processing, • Participate in code reviews, providing constructive feedback to peers, • Assist in troubleshooting and resolving production issues across the full stack, • Implement and maintain unit tests, integration tests, and end-to-end tests, • Contribute to the continuous improvement of our development processes and tooling, • Stay current with emerging technologies and best practices in full stack developmentWho you are, • 5+ years of professional software development experience in full stack roles, • Strong proficiency in backend development using Python, Go, Java, or similar languages, • Solid experience with frontend development using React, Redux, and TypeScript, • Familiarity with cloud platforms (AWS, Azure, or GCP) and microservices architectures, • Experience with database design and management, both SQL and NoSQL, • Knowledge of RESTful API design and implementation, • Understanding of event-driven architectures and message queuing systems, • Experience with containerization technologies such as Docker and Kubernetes, • Familiarity with version control systems (e.g., Git) and CI/CD pipelines, • Strong problem-solving skills and ability to debug complex issues across the full stack, • Good understanding of software design patterns and architectural principles, • Excellent communication skills and ability to work effectively in a collaborative team environment, • Strong collaboration skills with low egoNice to haves, • Experience with WebSocket implementations, • Familiarity with mapping libraries (e.g., Mapbox) and geospatial data handling, • Knowledge of IoT platforms or autonomous systems, • Experience with data visualization and dashboard creation, • Experience with performance optimization for both backend and frontend systems, • Familiarity with time-series databases for handling sensor dataBenefits & Perks, • Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge), • Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums), • Company 401(k), • Commuter Benefits, • Flexible vacation policy, • Remote or hybrid work opportunities, • Sabbatical leave opportunity after 5 years with the company, • Paid Parental Leave, • Daily lunches for in-office employees

Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine. We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.Key Responsibilities • Develop high-performance GPU/CPU kernels and make trade-offs that maximize end-to-end hardware utilization, • Utilize knowledge of hardware features and performance characteristics to make aggressive optimizations, • Work with our other platform teams to deploy your kernels, manage our training uptime, and find opportunities for optimization, • Develop low-precision algorithms that deliver high performance with little loss of ML accuracyWork with ML engineers to develop model architectures that are amenable to efficient training and inference, • Work with hardware vendors and advise on HW/SW co-designJob Requirement, • A strong coder with excellent skills in C/C++ and Python, • Have a deep understanding of GPU, CPU, or other AI accelerator architectures, • Have experience writing and optimizing compute kernels with CUDA or similar languages, • Are familiar with LLM (and/or other foundation model) architectures and training infrastructure, • Have experience driving ML accuracy with low-precision formatsHave 1+ years of relevant industry experience, • Get a great deal of satisfaction with every percentage point in performance improvement, • Senior Engineer for Ph.D. with 2-3 years working experience or Engineer with M.S. with 3-5 year working experiencePreferred Qualifications, • PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other Systems, • Experience building compilers

Job Description Role: QA Engineer Location: San Jose, CA – Onsite Position Type: W2 Contract Functionality, performance, and stability of our in-house tool suite. You will work closely with software engineers and other stakeholders to understand requirements, identify potential issues, and drive quality throughout the development lifecycle. Requirements Must Have: -Python 3.1x -Testing on Python -Pytest Testing framework -Parameterized test -Mocking -CI/CD pipeline C/C++ (Priority: 1) Python (Priority: 1) CI/CD Pipeline (Priority:1) 5+ years of experience -Python 3.1x -Working knowledge of software design patterns -Working knowledge of Python unittest testing framework -Understanding of code coverage metrics and how to determine testing quality -Working knowledge of Pytest testing framework -+ parameterized tests -+ Test that throw exceptions -+ Mocking -+ Inter-test dependencies and ordering -Working knowledge of Sapling / Mercurial / GIT -Working knowledge of VSCode

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description NOTE: This role requires a US Citizen. Your Career The Cortex team builds and delivers the industry’s most advanced SecOps platform, consisting of XSIAM, XSOAR, and XPANSE. As a Senior DevOps Engineer, you will be responsible for designing, building, and maintaining the infrastructure and automation that powers our large-scale cloud platform. You will work closely with engineering teams to enable fast and reliable software delivery, optimize system performance, and ensure seamless scalability. This role requires a strong DevOps engineer who is passionate about automation, cloud infrastructure, observability, and continuous integration/deployment. You will contribute to the evolution of our infrastructure by implementing best practices in configuration management, cloud provisioning, containerization, and CI/CD pipelines. Your Impact • Cloud Infrastructure – Architect, deploy, and manage cloud-native solutions in Google Cloud Platform (GCP) to ensure scalability, reliability, and performance, • Automation & Infrastructure as Code – Develop Infrastructure-as-Code using Terraform, automate configuration management with tools like Ansible, and drive adoption of GitOps practices, • CI/CD Pipelines – Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, or similar tools to enable rapid, reliable software delivery, • Containerization & Orchestration – Deploy and manage containerized workloads using Kubernetes (GKE preferred) and Docker, ensuring resilience and security, • Monitoring & Performance Optimization – Implement monitoring, logging, and alerting solutions to proactively identify and resolve performance issues, • Security & Compliance – Ensure security best practices are followed across infrastructure, networking, and application deployment, • Collaboration – Work closely with development teams to integrate DevOps practices, troubleshoot production issues, and improve operational efficiency, • On-Call Rotation – Participate in on-call support to maintain platform reliability and resolve production incidentsQualifications Your Experience • 4+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles, • Strong cloud expertise in Google Cloud Platform (preferred) or AWS, • Infrastructure as Code – Deep knowledge of Terraform, Ansible, or equivalent tools, • Proficiency in scripting/programming with Python, Go, or Bash, • Containerization & Kubernetes – Experience managing large-scale Kubernetes environments and deploying workloads in GKE, EKS, or similar, • CI/CD & Automation – Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or ArgoCD, • Linux Administration – Strong knowledge of Linux systems and shell scripting, • Networking & Security – Understanding of cloud networking, IAM, firewalls, and security best practices, • Experience troubleshooting production issues in high-scale environments, • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment Additional Information The Team Our DevOps team is at the core of Cortex’s cloud infrastructure, enabling our engineering teams to build and deploy software at scale. We thrive on automation, efficiency, and reliability, always pushing the boundaries of DevOps excellence. If you’re excited about building scalable infrastructure, improving deployment workflows, and driving DevOps culture, we want to hear from you. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $126000/YR - $203500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role The foundation team at xAI is dedicated to building the infrastructure and systems that empower maximum truth-seeking AI agents. To achieve this, we are developing AI-first search/retrieval systems that enable LLM agents to efficiently access, process, and leverage vast knowledge bases — ultimately fostering agents that prioritize accuracy, rigorous reasoning, and an unbiased pursuit of knowledge. We are seeking expert engineers to architect and scale retrieval/search systems for data in all modalities (text, images, video, and audio) to elevate agent reasoning and decision-making. Tech Stack • Python, • Rust / C++, • Vector databases, • SparkFocus, • Developing and optimizing search pipelines for LLM agents at scale, with a core goal of supporting maximum truth-seeking capabilities., • Designing efficient search algorithms and indexing strategies for trillion-scale datasets across modalities., • Integrating search systems with xAI's core models to improve accuracy, speed, and relevance in real-time agent interactions, ensuring agents can discern and prioritize truthful information., • Experimenting with advanced techniques like dense retrieval, hybrid search to minimize biases and hallucinations., • Ensuring robustness and scalability of search infrastructure under high-load conditions while aligning with truth-seeking objectives.Ideal Experiences (at least one from below), • Strong engineering background with a passion for building high-performance search systems that contribute to truthful AI., • Expertise in information retrieval, vector embeddings, and semantic search technologies., • Familiar with distributed systems, large-scale indexing, and optimizing query latency in ML contexts., • Experience working with LLMs, agents, or knowledge-intensive tasks, including fine-tuning for retrieval tasks aimed at enhancing truthfulness., • Proficient in managing and curating large datasets from diverse sources, with a focus on quality, verifiability, and efficiency to support maximum truth-seeking agents., • Coding assessment in a language of your choice., • Systems hands-on: Demonstrate practical skills in a live problem-solving session., • Project deep-dive: Present your past exceptional work to a small audience. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionAutoRoboto is seeking a Mechatronic/Robotics Engineer or Systems Integration Engineer to join our dynamic team in Mountain View, California. In this role, you will focus on developing hardware and software solutions for factory line camera calibration of our client's AR/VR devices. This position emphasizes practical implementation over theoretical knowledge, requiring hands-on experience in mechatronics, robotics, hardware design, and software development. Please note that this role is open in Mountain ViewKey Responsibilities • Hardware Development:, • Design and develop calibration equipment, robotic fixtures, and automation systems for factory production lines., • Collaborate with manufacturing teams to integrate calibration hardware seamlessly into existing workflows., • Ensure calibration hardware meets safety and quality standards., • Software Development:, • Develop software applications and control systems to automate camera calibration processes on the production line., • Create user interfaces and tools for factory operators to facilitate efficient calibration., • Optimize software for performance and reliability in a high-throughput environment., • Systems Integration:, • Integrate hardware and software components to create cohesive calibration systems., • Work with cross-functional teams to ensure compatibility and efficiency of integrated systems., • Process Implementation:, • Establish and document calibration procedures for use in manufacturing settings., • Train factory personnel on the use of calibration equipment and software., • Continuously improve calibration processes to enhance efficiency and reduce downtime., • Testing and Troubleshooting:, • Conduct testing to validate the effectiveness of calibration equipment and software., • Diagnose and resolve issues that arise during the calibration process on the production line., • Implement corrective actions to mitigate future issues., • Documentation:, • Prepare comprehensive documentation, including user manuals, technical specifications, and process guidelines., • Maintain records of calibration results and equipment maintenance.Qualifications, • Bachelor's degree in Mechatronics Engineering, Robotics Engineering, Electrical Engineering, Mechanical Engineering, or a related field; Master's degree preferred, especially with an applied thesis., • Hands-on experience in hardware design and development for manufacturing environments., • Proficiency in programming languages such as C++, Python, Bash., • Familiarity with factory automation, robotics, and production line processes., • Basic understanding of camera systems and calibration techniques., • Strong problem-solving skills and attention to detail., • Excellent communication skills and ability to work collaboratively in a team environment., • Willingness to work on-site full-time in Mountain View, California.Preferred Qualifications, • Experience in developing calibration equipment or systems for manufacturing., • Knowledge of industrial robotics, control systems, and PLC programming., • Familiarity with AR/VR devices and related technologies.

Job DescriptionWho we are: AI is the new electricity. Just as it transformed entire industries 100 years ago, AI is poised to do the same today. AI Fund is a venture studio that co-founds companies alongside entrepreneurs, and we build companies from inception to market launch. Founded in 2017 by Dr. Andrew Ng, the $370 million-dollar funded venture studio is backed by top-tier VC firms and investors, and brings to bear the AI Fund teams’ combined experiences as AI pioneers, entrepreneurs, venture capitalists, and builders. Together, let’s build great companies that will move humanity forward. What We’re Looking For:We’re looking for an AI Engineer with a strong foundation in full-stack software development and proven hands-on experience working with large language models (LLMs) and Generative AI technologies. The ideal candidate will blend practical software engineering skills with deep curiosity and fluency in modern AI workflows. This role is a great match for someone who loves exploring new technologies, takes initiative, and enjoys working across teams to turn bold ideas into reality. It’s ideal for an engineer who approaches problems with a product mindset, builds with the precision of a systems architect, and brings the curiosity of a researcher. If you're excited about pushing the boundaries of how cutting-edge AI can power real-world applications, we’d be excited to connect with you. This is a full-time hybrid position for candidates based in the Bay Area. You must already have, or be able to obtain, authorization to work in the United States. What You’ll Do • Design, develop, and maintain both front-end and back-end components of GenAI-powered applications., • Build and integrate APIs and third-party services—including tools like Cursor, Windsurf, and various LLM platforms—to enhance AI functionality., • Collaborate closely with product and engineering teams to prototype and iterate on innovative, AI-driven user experiences., • Design and manage databases with a focus on performance, reliability, and scalability for AI-intensive applications., • Contribute to architecture discussions, especially around LLM integration, prompt pipelines, and agentic workflows., • Stay deeply informed about advancements in GenAI, LLMs, and software development to help evolve our engineering practices and AI capabilities.What You Must Bring, • 2+ years of experience as a full-stack engineer or in a similar role., • Proficiency in front-end technologies such as JavaScript, HTML, CSS, and frameworks like React, Vue, or Angular., • Strong back-end experience in Python, including designing and building scalable APIs and server-side logic., • Comfortable working with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases., • Skilled in RESTful API design and WebSocket integrations., • Experience with Git and collaborative workflows in modern software development environments., • Familiarity with cloud platforms (especially AWS) and containerization tools such as Docker for deployment and environment management., • Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders., • Hands-on experience building with LLMs (e.g., OpenAI, Claude, Gemini) in ways that go well beyond basic prompting., • Practical knowledge of advanced LLM use cases including: Tool/function calling, Agentic workflows, Retrieval-Augmented Generation (RAG), and Finetuning models., • Familiarity with leading GenAI frameworks and tools such as LangChain, Hugging Face, LlamaIndex, Haystack, or similar., • Demonstrated ability to integrate AI capabilities into full-stack applications as part of side projects, prior work experience, or academic research., • A strong interest in the evolving AI/LLM landscape and a drive to stay ahead of emerging trends.What You Get Working With Us, • Work directly with leading voices in AI, including Andrew Ng and other accomplished founders and entrepreneurs who are shaping the future of the industry., • Build real, meaningful products that apply GenAI and LLM technologies to solve important problems across a range of industries., • Join an ambitious, highly collaborative team that values rapid learning, autonomy, and strong engineering practices., • Be at the frontier of AI innovation, experimenting with tools like Cursor, Windsurf, and the latest LLM frameworks to push the boundaries of what’s possible.

Job DescriptionJob Description:2-4 years of Deep Learning experience. Role Description:Research in advance areas of Computer vision for COBOTS Autonomous Robots for Manufacturing Plant. The role involves designing perception systems, developing vision-based algorithms for navigation, object detection, obstacle avoidance and collaborate with robotics engineers to deploy models for real world applications Essential Skills:Research in advance areas of Computer vision for COBOTS Autonomous Robots for Manufacturing Plant. The role involves designing perception systems, developing vision-based algorithms for navigation, object detection, obstacle avoidance and collaborate with robotics engineers to deploy models for real world applications Skills required (MUST HAVE):Deep Learning Artificial Intelligence (AI) Robotic Process Automation - Automation Anywhere Python for Data Science Interviews:Minimum 3 rounds

Job DescriptionPivotal 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, the first light eVTOL to fly manned missions and enter the consumer market. Efficient, compact, and simple, Pivotal vehicles are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been in development, preparing to enter the market for over 10 years. We recently announced our next-generation aircraft, the Helix, planned for general release and scalable production in 2025. Mobility is one of the most highly-valued areas of technology investment today. This is the right company, in the right space, the right strategy, at the right time. We invite you to join our amazing team and grow with us. About the job While we may not have an immediate opening, we are always looking to connect with talented individuals who are passionate about electric Vertical Takeoff and Landing (eVTOL) aircraft.. By applying here, you’ll be considered for future opportunities as they arise. If a role becomes available that matches your skills and experience, our team will reach out. We review every application and encourage you to apply if you're excited about what we're building—even if the timing isn’t perfect today. Pivotal is seeking a highly motivated and experienced Motor Control Engineer to play a pivotal role in the development of our eVTOL aircraft. The ideal candidate will have a strong background in motor control algorithm development and motor controller software architecture along with professional automotive, industrial robotics or aviation experience. Responsibilities • In-depth understanding of torque control techniques such as slip-based control, field oriented control, direct torque control., • Prior experience with flux estimation methods, 3-phase power control, analytical control system theory development and analysis., • Experience with various PWM schemes such as space vector, discontinuous, and sinusoidal modulation, including data-acquisition methods., • Capability of delivering high-quality C/C++ code in an embedded microcontroller environment., • System-oriented understanding of thermal, system-level torque and velocity control, voltage DC-link integration, efficiency optimization, and firmware integration for electric drives., • Model development and data analysis in Matlab/Simulink.Qualifications, • 3+ years of professional experience, • Masters or PhD in related engineering discipline (Aerospace, Mechanical, etc), • Proven experience in designing and developing productized motor controls., • Proficiency in MATLAB, Simulink, C/C++, and other relevant software tools, • Knowledge of relevant industry standards, regulations, and safety protocols, • Hands-on experience through employment, student teams, co-op, and/or personal projects, • Excellent problem-solving skills and a demonstrated ability to work in a fast-paced, collaborative start-up environmentBonus Qualifications, • Experience with version control such as Git, • Experience with TI Instaspin SW bbox, • Experience with Propeller Characterization, • Experience with Dynamometer testing, • Experience with wind-tunnel testing and/or CFD for use in flight dynamics modeling, • Proficiency with Python, C#, Java, or other high level languages, • Experience with embedded systems, real-time systems, robotics, or sensors, • Interest in RC planes, quadcopters, or aviationAttributes aligned with Core Values, • Demonstrates a proactive safety mindset by embedding safety into daily operations, identifying and mitigating risks through assessments and training, encouraging open dialogue on safety concerns, and continuously improving protocols to ensure a safe work environment., • Puts customers at the center of every action by deeply understanding their challenges, delivering exceptional value, and striving to exceed expectations to support their success as our core purpose., • Actively seeks and values diverse stakeholder perspectives, builds cross-functional relationships, and fosters trust through empathetic, fact-based communication—committing to shared decisions for the greater good., • Drives results with clarity and purpose by focusing on what matters most, adapting to change, taking initiative, and owning outcomes while aligning actions with a clear understanding of success at every level., • Navigates ambiguity with resilience and bold thinking, challenges the status quo, and combines innovative ideas with practical best practices to overcome obstacles and drive progress., • Fosters a high-performance culture grounded in respect, professionalism, and support—balancing high expectations with a healthy, collaborative environment and being a trusted, dependable teammate.Salary Range

Job DescriptionCybersecurity Engineer – RTOS Firmware We seek an experienced Cybersecurity Engineer to implement and integrate security features for our next-generation electric vehicle platforms. In this role, you'll translate high-level security architecture into hands-on engineering solutions, tackling challenges across the vehicle ecosystem. By integrating security features directly into the ECUs and other critical systems, you'll be essential in bringing our security designs to life. Your skills will be crucial in developing, implementing, and validating security features across the platform. The ideal candidate is passionate about automotive technology and security, and thrives in fast-paced, collaborative environments. You should have a strong background in embedded software development and excel at turning security requirements into robust, efficient implementations. What you’ll do... • Translate high-level security requirements and designs into practical, efficient implementations by developing and maintaining software components and libraries., • Partner with each ECU team to effectively integrate security-focused software components into their codebases., • Perform hands-on debugging and troubleshooting of security implementations, using low-level debugging tools to identify and fix issues., • Conduct code reviews with a focus on identifying and addressing potential vulnerabilities in both newly developed and existing code., • Collaborate with Verification & Validation teams to develop test plans to ensure robust, secure solutions., • Provide technical support and troubleshooting for cybersecurity issues that arise during integration and testing., • Stay current with emerging threats and vulnerabilities in automotive cybersecurity, proposing and implementing innovative solutions to address them., • Contribute to building a strong security culture within the Advanced EV Development organization. Required: • 5+ years of experience in embedded systems development and cybersecurity implementation, • Comprehensive knowledge of embedded systems architecture and cybersecurity with proven experience applying this knowledge in automotive contexts., • Proven expertise in embedded C programming, with a focus on secure coding practices., • Python scripting, • Strong debugging skills and experience with embedded systems debugging tools., • Solid grasp of automotive cybersecurity technologies and mechanisms in areas such as in-vehicle networking (e.g., LIN, CAN, Ethernet, wireless, UDS, XCP, TLS), hardware trust anchors (e.g. HSM, HSE, TEE, secure elements), secure boot, secure diagnostics, key management, and Over-The-Air (OTA) updates., • Working knowledge of cryptography fundamentals, including symmetric and asymmetric algorithms, hashing, Public Key Infrastructure (PKI), and X.509 digital certificates, with experience applying these in automotive environments., • Solid understanding of common security vulnerabilities and attack vectors in embedded systems., • Broader automotive development expertise, which may include familiarity with AUTOSAR architecture, real-time operating systems (RTOS), functional safety concepts and their implementation (e.g., ISO 26262), and other automotive-specific development frameworks, standards, and methodologies., • Previously lead the development of solutions for one or more of: secure boot, firmware signature verification, OTA, key management, and secure diagnostics., • Familiarity with automotive cybersecurity standards and regulations (e.g., ISO/SAE 21434, UNECE WP29 R.155/R.156)., • Proficiency in additional programming languages such as Python or Rust, • Experience applying security principles and best practices in conventional cybersecurity domains including cloud infrastructure, Linux systems, or mobile platforms (e.g., Android). Estimated Min Rate: $70.00 Estimated Max Rate: $95.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All 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. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: Company DescriptionFounded in 1940, Yoh operates from 75 locations throughout North America and is headquartered in Philadelphia, PA. Yoh was the nation’s first technology staffing firm. As a business unit of Day & Zimmermann, Yoh has a flourishing global footprint, as our parent company operates from more than 150 worldwide locations. Company Website: in 1940, Yoh operates from 75 locations throughout North America and is headquartered in Philadelphia, PA. Yoh was the nation’s first technology staffing firm. As a business unit of Day & Zimmermann, Yoh has a flourishing global footprint, as our parent company operates from more than 150 worldwide locations.\r\nCompany Website: