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Willingness to learn and develop skills for remote work success. Participate in online and in-person discussions without any commute if working remotely. Remote working/work at home options are available for this role.

The ideal candidate will have over 8 years of front-end development experience and expertise in React, JavaScript, and performance optimization.

Job function Legal Industries Software Development Referrals increase your chances of interviewing at Roku by 2x Sign in to set job alerts for “Assistant General Counsel” roles. Assistant General Counsel, Business & Legal Affairs (Ad Product Counsel). Assistant General Counsel, Business & Legal

A leading semiconductor company in San Jose is looking for a Firmware Engineer to design and develop high-performance firmware for their enterprise SSD products.

The role includes contributing to all aspects of physical design, generating timing constraints, and developing high performance low power clock networks.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. At PayPal

Technical Solutions Consultant, Performance - MPO. Technical Solutions Consultant, Performance - MPO. This role involves close collaboration with in-market Sales and regional product marketing teams while working directly with advertisers to guide the implementation of our Performance and Ad Measure

A leading technology company is looking for a Senior Software Engineer to work on performance optimizations in deep learning frameworks using JAX.

The ideal candidate should have strong C++ programming skills and be able to lead projects aimed at improving performance.

What you will be doing:*** Design and execute comprehensive performance benchmarking strategies for our data center platforms and products* Characterize real-world AI training, inference, and HPC workloads at scale* Define, track, and report key performance indicators (throughput, latency, efficienc

The candidate will innovate routing algorithms and optimize FPGA tools to enhance performance.

Your day-to-day work will include (1) analyzing the properties of emerging machine learning algorithms and workloads and identifying functional, performance implications (2) Creating analytical models to project performance on current and future generations of d-matrix hardware (3) proposing new HW/

School of Music and Dance Summary.The School of Music and Dance at SJSU value diversity, equity, inclusion, and belonging.Our excellence in research, teaching, and service can only be fully realized by faculty, students, and staff who share our commitment to these values.SJSU enrolls more than 36,00

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role IFM is building the foundational compute infrastructure that will power tomorrow’s breakthroughs in AI and computational science. We’re looking for a High Performance Computing Software Engineer to help us design, develop, and operate the software systems that run our large-scale AI workloads. In this role, you’ll work at the intersection of high-performance computing and machine learning. You’ll be part of a team responsible for crafting the software stack that enables training of cutting-edge ML models—spanning 1000+ GPUs—and ensuring our infrastructure is robust, performant, and developer-friendly.Job Responsibilities • Design and implement high-performance, distributed software solutions for large-scale AI/ML training., • Optimize low-level system components including Linux kernel, GPU/accelerator kernels, and interconnects., • Develop and tune communication libraries such as NCCL, MPI, UCX, RCCL, and RDMA-based systems., • Partner with ML researchers and engineers to support frameworks like PyTorch, MegatronLM, and DeepSpeed in large-scale production environments., • Contribute to our scheduling, orchestration, and job management systems, including Slurm and Kubernetes., • Debug and resolve complex issues across the stack—from kernel to container to model., • Work closely with hardware vendors, upstream open-source communities, and internal teams to drive performance and reliability improvements.Skills & Experience, • Proven experience developing and optimizing software for large-scale ML workloads (1000+ GPUs preferred)., • Deep understanding of Linux kernel internals and accelerator (GPU) kernel development., • Proficiency with distributed communication libraries (e.g., NCCL, RCCL, MPI, UCX, SHARP, Libfabric)., • Experience with ML frameworks like PyTorch, TensorFlow, JAX, or MegatronLM., • Strong knowledge of HPC job scheduling and orchestration tools (e.g., Slurm, Kubernetes, Pyxis)., • Excellent debugging and systems performance tuning skills.

A technology company is seeking a Principal/Senior GPU Software Performance Engineer to lead performance for deep learning solutions. Candidates should have extensive experience in GPU performance engineering and strong programming skills in Python and C++.

Key Responsibilities*** Lead the strategic direction and execution of fleet performance analytics, utilizing the reliability performance models, and field data to drive predictive insights and early anomaly detection. Director, System Performance & Reliability Analytics page is loaded## Director, Sy

A leading technology company in San Jose is seeking a Senior FPGA Compiler Software Engineer.You will design and develop innovative software for FPGA devices, focusing on optimization algorithms.Candidates should have a degree in Electrical Engineering or related field, with significant industry exp

Experience with performance optimizations across a variety of CPU architectures - like x86, POWER and ARM. Senior System Software Engineer, Performance - CUDA Driver. Our team analyzes performance of applications, investigates bottlenecks in software or hardware and delivers features and improvement

A technology company is seeking a Principal/Senior GPU Software Performance Engineer to lead performance for deep learning solutions. Candidates should have extensive experience in GPU performance engineering and strong programming skills in Python and C++.

Senior Marketing Performance Analyst. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. As a Senior Marketing Performance Analyst, you will b

You eshould understand basic concepts of performance testing including different types of performance tests (microbenchmarks, end-to-end benchmarks, concurrency and scale testing), how to reduce (or deal with) noise in test results, etc. Understanding of hardware trends and full-stack systems perfor

Principal / Senior GPU Software Performance Engineer — Post‑Training THE ROLE Drive the performance of.

A leading technology company is seeking a Principal / Senior GPU Software Performance Engineer in San Jose, CA. This role involves optimizing GPU workloads for training performance, enhancing throughput, and resolving bottlenecks in distributed systems. The ideal candidate will have strong skills in

The role includes contributing to all aspects of physical design, generating timing constraints, and developing high performance low power clock networks.

A leading energy solutions provider located in San Jose, CA, seeks a Director of System Performance & Reliability Analytics. This position focuses on developing advanced analytics to enhance the reliability and operational efficiency of our fuel cell fleet. The ideal candidate will be equipped with

A leading energy solutions company in San Jose is seeking a Director of System Performance & Reliability Analytics to lead analytics frameworks, optimizing performance and reliability of fuel cell fleet. The ideal candidate will have 12+ years of experience, a strong engineering background, and expe

Director, System Performance & Reliability Analytics page is loaded## Director, System Performance & Reliability Analyticslocations: San Jose, Californiatime type: Full timeposted on: Posted Todaytime left to apply: End Date: April 30, 2026 (30+ days left to apply)job requisition id: JR-20796Our tea

Assistant General Counsel, Business & Legal Affairs (Ad Product Counsel)Assistant General Counsel, Business & Legal Affairs (Ad Product Counsel). Executive Assistant to General Counsel, LegalAssistant General Counsel – Commercial Alliances (Remote). Senior Counsel, Business and Legal Affairs (Corp

A leading technology company is looking for a Senior Software Engineer to work on performance optimizations in deep learning frameworks using JAX.

The candidate will innovate routing algorithms and optimize FPGA tools to enhance performance.

Job DescriptionCompany Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description We are seeking an experienced and visionary Sr. Technologist to join our organization in Milpitas, United States. This role is director‑equivalent in scope and impact, with a strong emphasis on technical leadership and hands‑on innovation rather than large team management. In this pivotal role, you will establish and lead an AI Systems & Performance Lab focused on identifying and eliminating AI bottlenecks across real‑world workloads, software stacks, and diverse hardware configurations. You will define the lab’s technical vision, develop rigorous methodologies, and deliver insights that directly influence system architecture, platform strategy, and future hardware designs. The ideal candidate brings deep expertise in AI workloads and system performance, paired with the ability to translate complex technical findings into clear architectural and business impact. Essential Duties and Responsibilities: AI Lab Vision & Technical Leadership • Establish and articulate a clear technical vision and charter for the AI Lab, focused on AI workload characterization and performance bottleneck analysis., • Define the research agenda, success metrics, and execution model aligned with organizational objectives and future technology directions., • Drive end‑to‑end analysis of AI training and inference workloads, spanning models, frameworks, runtimes, and full system stacks., • Identify performance bottlenecks across compute, memory hierarchy, interconnects, storage, power, and software layers., • Architect and oversee the development of benchmarking, profiling, and workload characterization frameworks., • Evaluate AI performance across multiple hardware configurations and system topologies, ensuring rigor, reproducibility, and scalability., • Partner closely with hardware, platform, and system architecture teams to translate workload insights into actionable design recommendations., • Collaborate with AI software, product, and business teams to ensure performance findings inform roadmap and investment decisions., • Provide technical mentorship and guidance to a small, highly skilled team of engineers and researchers., • Drive thought leadership through internal publications, external papers, or patents in AI systems and performance engineering., • Ensure AI performance research and system recommendations align with responsible and ethical AI principles., • Incorporate considerations around efficiency, sustainability, and scalability into workload and system analysis.Qualifications Required: • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field; Master’s or PhD strongly preferred., • 15+ years of industry experience in systems engineering, AI infrastructure, performance engineering, computer architecture, or hardware/software co‑design., • Deep hands‑on experience with AI workloads (training and/or inference), including modern deep learning models and frameworks (e.g., PyTorch, TensorFlow, JAX, or equivalent)., • Strong understanding of end‑to‑end system performance, including compute architectures, memory hierarchy, interconnects, storage, and software stacks., • Proven ability to identify, analyze, and root‑cause performance bottlenecks across heterogeneous systems (CPU, GPU, NPU, accelerators)., • Demonstrated technical leadership with director‑level influence, driving strategy and outcomes without relying on large teams., • Experience translating complex technical findings into clear architectural recommendations and business‑relevant insights., • PhD or equivalent industry experience in AI systems, computer architecture, performance modeling, or large‑scale distributed systems., • Hands‑on experience with AI accelerators (e.g., GPUs, NPUs, custom silicon) and their software ecosystems., • Background in benchmarking, profiling, and workload characterization, including development of custom tools or frameworks., • Experience influencing platform, system, or silicon roadmaps using workload‑driven, data‑backed insights., • Familiarity with compiler stacks, runtimes, and low‑level performance analysis tools., • Track record of technical thought leadership, including patents, publications, standards contributions, or widely adopted internal frameworks., • Comfortable operating as a senior technical authority with broad organizational influence and limited direct reports., • Demonstrated ability to build new technical capabilities from scratch, including labs, methodologies, and infrastructure., • Strong mentoring mindset, guiding senior and junior engineers through technical depth rather than formal management., • Pragmatic, results‑oriented approach with the ability to balance research rigor and product impact. Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 07/02/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-TS1 Compensation & Benefits Details • An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs., • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future., • You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards., • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan., • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Job Description About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are hiring a Performance Profiling Architect to define how performance is understood across next-generation AI accelerator systems. Our ML accelerator platform spans custom silicon, supercomputing software, compiler stacks, runtime libraries, and distributed inference environments. Performance at this scale is no longer a device-level question — it is a high-performance distributed system problem. You will define the performance metrics that connect raw hardware signals to distributed workload context, ML cluster dynamics, pod communication patterns, and emergent bottlenecks. This role requires more than telemetry. You will establish new abstractions, structured counter ontologies, cross-layer event correlation frameworks, distributed time-alignment strategies, and scalable reasoning systems operating across nodes, racks, and clusters. Working at the intersection of hardware design, driver architecture, runtime systems, and ML infrastructure, you will shape how these layers expose and consume performance intelligence. This is a foundational role defining not just tooling, but how our platform reasons about efficiency, scalability, and system behavior for years to come. Key Responsibilities System-Level Performance Design * Define the architectural approach for collecting and structuring telemetry across CPUs, drivers, interconnects, and multiple accelerators * Design scalable models for correlating performance events across device and host boundaries Cross-Layer Event Correlation * Develop mechanisms to align hardware counters, runtime activity, communication phases, and workload semantics across model-layer execution into coherent, actionable insight * Implement time synchronization and trace-alignment strategies across multi-device systems Telemetry & Counter Modeling * Define structured counter taxonomies separating base signals from derived metrics * Design derived performance models bridging low-level hardware signals and workload-level behavior * Influence instrumentation strategy for future hardware generations Distributed Performance Reasoning * Build tools that identify bottlenecks among multi-accelerator workloads across chips within hosts * Build cluster-scale performance analysis for distributed inference across data center networks Tooling & Insight Delivery * Contribute to analysis engines and developer-facing tooling that transform raw telemetry into intuitive insight * Shape how performance intelligence is surfaced to engineers debugging large-scale AI systems You may be a good fit if you have * Deep experience building complex systems at the intersection of hardware and software * Personally envisioned and built significant portions of profiling, tracing, or observability systems — not solely defined requirements or product strategy * Demonstrated ability to translate raw hardware signals into scalable, production-grade telemetry and analysis infrastructure * Experience correlating time-series events across distributed systems * Deep systems programming expertise (C++ or Rust), with a track record of shipping low-level infrastructure operating close to hardware or runtime systems * Experience designing distributed correlation mechanisms, timestamp-alignment strategies, or performance modeling frameworks across multiple devices or hosts * A history of introducing new technical abstractions or counter models that materially improved how engineers debug and optimize systems * Experience designing distributed tracing or observability platforms at scale * Experience with high-performance computing systems and large AI training clusters * Experience with timestamp synchronization strategies and event alignment in distributed environments * Experience with hardware counter design and instrumentation strategy * Experience with runtime systems, compiler internals, or scheduling frameworks * Experience with performance modeling for large-scale ML workloads * Experience leading cross-functional architectural initiatives spanning hardware and software teams Benefits * Medical, dental, and vision packages with generous premium coverage * $500 per month credit for waiving medical benefits * Housing subsidy of $2k per month for those living within walking distance of the office * Relocation support for those moving to San Jose (Santana Row) * Various wellness benefits covering fitness, mental health, and more * Daily lunch and dinner in our office How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. Compensation Range: $200K - $300K

Job DescriptionBenefits: • Company car, • Paid time off, • Training & development, • 401(k), • Bonus based on performance $150,000Earning Potential | Commission Only We are expanding rapidly across Central and Northern California and are looking for elite field sales professionals who want a real opportunity to earn at the top of the market. This is not a customer service role. This is not inside sales. This is a field-based, inspection-driven, high-ticket sales position for driven professionals who want independence, strong commissions, and serious income upside. If you come from solar, wireless, alarms, B2B, or high-pressure commission sales and know how to close, you will fit in well here. What Youll Be Selling Youll be conducting on-site inspections and selling high-value home services, including: • Roof and property inspections, • Home service solutions (HVAC-related inspections, roofing-adjacent services, preventative solutions), • Residential and light commercial opportunities This role requires being on roofs, using ladders, and performing physical inspections. Fear of heights is a non-starter. Earning Potential & Compensation • Commission-only role, • $150,000+ realistic annual earning potential, • Top performers exceed this, • Paid fast, paid clean, no games We provide: • Company truck, • Tools & inspection equipment, • Structured training and ongoing coaching, • Strong inbound and outbound lead flow, • Clear pricing and systems (no guessing) Benefits • 401(k) options, • Paid training, • Advancement into leadership for top performers, • Long-term career path (not a short-term gig) What Were Looking For (Non-Negotiable) • Proven sales experience (commission-based, quota-driven), • Background in solar, wireless, alarms, home services, or B2B sales preferred, • Comfortable working independently in the field, • Competitive mindset and strong closing ability, • Professional appearance and communication, • Must be comfortable climbing ladders and walking roofs, • Valid drivers license and clean driving record Customer service only backgrounds will not be considered No fear of heights What This Role Is (and Is Not) This role IS: • High income, • High responsibility, • Performance-based, • Field-driven and physical This role is NOT: • Desk sales, • Phone-only sales, • Entry-level, • Easy money If youre hungry, disciplined, competitive, and want a platform where your effort directly controls your income this is the opportunity. About Us We are a fast-growing home services company operating across Central and Northern California with a strong reputation, premium offerings, and a serious growth plan. We invest heavily in our sales team because sales drives everything. Apply Now If youre looking for a real sales career, not a job apply today.

Job DescriptionCompany Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description In this position, you will develop AI Storage Solutions based advanced system architectures and complex simulation models for Sandisk’s next generation products. You will need to initiate and analyze changes to the architecture of the product. Typical activities include designing, programming, debugging, and modifying simulation models to evaluate these changes and assess the performance, power, and endurance of the product. You will work closely with excellent colleague engineers, cope with complex challenges, innovate, and develop products that will change the data centric architecture paradigm. Essential Duties and Responsibilities : • Build SystemC performance models for AI Storage Solutions based products covering end-to-end from GPU/TPU/NPU/xPU, host interface, memory hierarchy, basedie controller, and AI Storage Solutions using various packaging technolgies, • Responsible for improving the AI/ML ASIC Architecture performance through hardware & software co-optimization, post-silicon performance analysis, and influencing the strategic product roadmap., • Workload analysis and characterization of ASIC and competitive datacenter and AI solutions to identify opportunities for performance improvement in our products., • Collaboration with Architecture team to resolve performance issues and optimize the performance and TCO of their AI Storage Solutions based datacenter technologies., • Experience modeling one or some components of AI/ML accelerator ASICs such as AI Storage Solutions, PCIe/UCIe/CXL, NoC, DMA, Firmware Interactions, NAND, xPU, fabrics, etc, • Performance modeling and optimization for multi-trillion parameter LLM training/inference including Dense, Mixture of Experts (MoE) with multiple modalities (text, vision, speech), • Model/optimize novel parallelization strategies across tensor, pipeline, context, expert and data parallel dimensions, • Architect memory-efficient training systems utilizing techniques like structured pruning, quantization (MX formats), continuous batching/chunked prefill, speculative decoding, • Incorporate and extend SOTA models such as GPT-4, Reasoning models like Deepseek-R1, and multi-modal architectures REQUIRED: • Bachelors or Masters or PhD in Computer/Electrical Engineering with 5+ years of relevant experience in Performance Modeling, Simulation, and Analysis using SystemC, • At least 5+ years of experience with SystemC modeling, • Good understanding of computer/graphics architecture, ML, LLM, • Previous experience with storage systems, protocols, and NAND flash – advantage, • Deep experience optimizing large-scale ML systems, GPU architectures, • Strong track record of technical leadership in GPU performance and workload analysis, • Expert knowledge of transformer architectures, attention mechanisms, and model parallelism techniques, • Experience with GPU or TPU and system microarchitecture, • Proficiency in principles and methods of microarchitecture, software, and hardware relevant to performance engineering, • Capable of developing wide system view for complex AI/ML Accelerator ASIC systems, • Proficiency with SoC and system performance analysis fundamentals, tools, and techniques including hardware performance monitors and PERF profiling, • Familiar with IO subsystem microarchitecture performance modeling and background in NVMe/PCIe//UCIe/CXL/NVLink microarchitecture and protocols is a plus, • Multi-disciplinary experience, including familiarity with Firmware and ASIC design, • PyTorch, CUDA, TensorRT, OpenAI Triton, and ONNX, • Distributed systems: Ray, Megatron-LM, • Performance analysis tools: NSight Compute, nvprof, PyTorch Profiler, • KV cache optimization, Flash Attention, Mixture of Experts, • High-speed networking: InfiniBand, RDMA, NVLink, • Expertise in CUDA programming, GPU memory hierarchies, and hardware-specific optimizations, • Proven track record architecting distributed training systems handling large scale systems, • Experience with datacenter and AI workload analysis and optimization, • Experience with multi-core systems and multi-thread interactions, • Experience analyzing and optimizing workloads Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 04/28/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Compensation & Benefits Details • An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs., • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future., • You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards., • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan., • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

A leading AI consultancy in California is offering a short-term opportunity for Hebrew voice actors to improve AI models by collaborating on audio data projects.

What You'll do Provide project support by coordinating with territory salesperson, strategic business personnel, sales managers, contractors, designers, specifiers, and officials of codes and approvals Communicate with customers (buying and non-buying) Visit jobsite with salespeople, field engineers

Amergis Healthcare - - Responsibilities: Provide personal care and mobility support to clients; Assist with therapeutic care needs as directed by healthcare professionals; Work in settings including medical facilities, rehabilitation centers, or in-home care; Maintain required certifications (CPR,

Our client, in the mission-driven research and content space, is seeking a Personal Assistant to support a Founder-level executive.This is an exciting opportunity to step into a highly dynamic, dual-purpose role that blends executive support with hands-on ownership of both office and household opera

Job Title: Project Manager – Change Management & Internal Communications.We are seeking an experienced Project Manager with a strong background in Change Management and Internal Corporate Communications.This role will be responsible for driving organization-wide communication strategies and le

Maintain strong relationships with clients, subcontractors, vendors, and industry professionals to promote a positive brand image and support future business development.

US Citizen and Green Card Only.Job Title: Infrastructure Project Manager.Pay: $80–$85/hr W2 or up to $95/hr IC.Our client is looking for an additional Project Manager to strengthen our client's Project Management Office.The PM in question would work on a few projects simultaneously, so there is no

Job Title: Project Manager, Retail Operations + Technology.Location: Burlingame, CA; Menlo Park, CA; Los Angeles, CA (Hybrid, 3 days/week on-site).The Retail team is responsible for launching and managing the groundbreaking Client Lab stores, creating immersive experiences that bring our products to

Coordinate project design with contractor pre-construction services. Regular interaction with external stakeholders, including public officials, tenants, consultants, brokers, vendors, and contractors.

Location: San Jose (onsite 5 days a week).On rolling contract - Multi Year Contract.Required Skills & Experience.An employer in the San Jose area is looking for a Construction Project Manager to join their team.This person will provide Project Management and Engineering support on a variety of C

Provide leadership in construction administration, collaborating with contractors to ensure design intent is met.

Robust understanding of hardware NPI, xVT build cadences, and the role of factory test as it relates to System builds.

At Quest Global we are looking for a strong Technical Project Manager.As a Software Engineering Project Manager, you will Drive And Manage software End-to-End Product Lifecycle Planning, Program Execution, And Performance Management For Products And Services Throughout Their Product Lifecycle Proces