Santa Clara, California, United States · Hybrid
$136k–$265k/yr
SCG sits at the crossroads of design, architecture, marketing, and productization—owning the journey from the architecture stage through final product definition across Gaming, Datacenter, Automotive, and Embedded market…
Skills: Silicon bring-up, Frequency characterization, Power characterization, PPA analysis, System-level validation
Santa Clara, California, United States · On-site
$168k–$311k/yr
NVIDIA leads groundbreaking work in AI, high-performance computing, and visualization — and the memory subsystem is one of the most consequential parts of every silicon program we ship. GDDR, LPDDR, and HBM are where arc…
Skills: Memory bring-up, Silicon characterization, GDDR, LPDDR, HBM
Santa Clara, California, United States · On-site
Job Description:Job Overview We are looking for an AI Agent Architect to design and build enterprise internal agents and AI-native workflows. This role requires system architecture, product sense, technical taste, and th…
Skills: System architecture, LLM, Agent systems, Orchestration, Multimodal data pipelines
Santa Clara, California, United States · Hybrid
$272k–$431k/yr
As one of the technology industry's most desirable employers, NVIDIA has been redefining accelerated computing, computer graphics, and leading the Artificial Intelligence revolution. NVIDIA's innovation is fueled by its …
Skills: Power management, Silicon architecture, Power modeling, System-level optimization, Data analysis
Santa Clara, California, United States · Hybrid
$136k–$265k/yr
NVIDIA silicon runs the world's AI infrastructure. The frequency it delivers across every voltage, process corner, and workload is not assumed. It is measured, correlated, and validated. This role does that work. The Sil…
Skills: Silicon characterization, Post-silicon validation, Static timing analysis, Computer architecture, Python
Santa Clara, California, United States · Hybrid
$168k–$311k/yr
The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high‑volume manufacturing flows. You will translate product requirements into executable test metho…
Skills: Silicon Validation, High-volume Manufacturing, SoC, GPU, CPU
Santa Clara, California, United States · Hybrid
$168k–$311k/yr
NVIDIA has been redefining computer graphics, desktop gaming, and enhanced computing capabilities for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As a…
Skills: Silicon Validation, Power Analysis, Thermal Management, ASIC, SoC
Santa Clara, California, United States · Hybrid
$160k–$322k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: Technical Marketing, Content Strategy, AI Infrastructure, Cloud Platforms, HPC
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA is redefining healthcare through accelerated computing and AI. We are seeking passionate researchers to advance longitudinal multimodal foundation models for healthcare. Recent progress in medical AI has improved …
Skills: Machine learning, Multimodal foundation models, Medical AI, Deep learning, PyTorch
Santa Clara, California, United States · On-site
$179k–$304k/yr
XPeng Motors is one of China’s leading smart electric vehicle (EV) companies. We design, develop, and manufacture smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. W…
Skills: Reinforcement learning, Python, PyTorch, Tensorflow, Autonomous driving
Santa Clara, California, United States · Hybrid
$201k–$352k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Software engineering management, Platform persistence, Java, Shell, JavaScript
Santa Clara, California, United States · Remote OK
$184k–$322k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Marketing strategy, Demand generation, Campaign management, Pipeline management, Strategic leadership
Santa Clara, California, United States · Remote OK
$143k–$243k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Java, JavaScript, TypeScript, React, Angular
Santa Clara, California, United States · On-site
The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge …
Skills: Machine Learning, Search Ranking, Python, Go, Large Language Models
Santa Clara, California, United States · On-site
$138k–$207k/yr
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the …
Skills: Internal audit, Operational audit, Risk assessment, Business process expertise, Data analytics
Santa Clara, California, United States · On-site
The Applied Intelligence team, part of AI, Search & Knowledge Platforms, builds applications that bring intelligent capabilities to people through Siri, search, and new surfaces that haven't shipped yet. We work across t…
Skills: iOS, macOS, Full stack development, Machine learning, Artificial intelligence
Santa Clara, California, United States · On-site
$200k–$391k/yr
NVIDIA is looking for an exceptional Engineering Manager to lead, scale, and innovate our core Data Labeling Platform. This is a highly visible, high-impact role where you will bridge the gap between bleeding-edge AI eng…
Skills: Engineering management, Python, Data engineering, System design, AI application engineering
Santa Clara, California, United States · On-site
$90k–$124k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Technical program management, Engineering drawings, Data analysis, Cross-functional collaboration, Communication
Santa Clara, California, United States · On-site
$152k–$288k/yr
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. Doing wha…
Skills: Go, Rust, Linux, Kubernetes, Telemetry
Phoenix, Arizona, United States · Hybrid
$191k–$361k/yr
Job Details: Job Description: This position is in the Silicon and Platform Engineering, Platform and Experience Architecture, PXA team. This team is responsible for defining experience driven client platforms that deligh…
Skills: Platform architecture, Team leadership, Competitive analysis, User experience research, PC industry knowledge
Santa Clara, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
You will collaborate with cross-functional teams to co-design system-level speed features and develop verification infrastructure to validate them. Additionally, you will lead the debug of complex silicon issues and implement AI-assisted automation tools to optimize characterization cycles.
Candidates must hold an MS in EE, CE, Systems Engineering, or equivalent, with at least 4 years of relevant hardware engineering experience. Proficiency in Python/Perl, hands-on silicon bring-up experience, and familiarity with lab instrumentation are required.
SCG sits at the crossroads of design, architecture, marketing, and productization—owning the journey from the architecture stage through final product definition across Gaming, Datacenter, Automotive, and Embedded markets. As a System Verification CoDesign Engineer, you will work on system-level speed features, develop the verification collaterals and automation infrastructure to characterize and validate them, and lead debug of the complex silicon issues that stand between a program and on-time shipment. This is a hands-on role for an engineer who combines deep technical craft with the drive to compress cycle time using modern tooling—including AI—without losing rigor.
What You’ll Be Doing:
Collaborate cross-functionally with system architects, hardware, firmware/software, process/reliability, and operations teams to co-design system-level speed features and deliver industry-defining products.
Understand system level behavior and speed reliability margins, bounding box constraints and identify solutions that optimize margins.
Translate hardware features and architectural requirements into verification techniques that achieve full coverage across testing flows.
Perform closed loop validation by correlating silicon behavior against timing simulation and design expectations; provide actionable feedback to improve future designs.
Define, prototype, and refine pre- and post-silicon bring-up flows to ensure product quality, performance, and schedule efficiency.
Design and implement automation tools for system speed modeling; apply AI and LLM-assisted workflows (e.g., automated log analysis, pattern detection, scripting acceleration) to compress characterization and debug cycles.
Architect and influence testability features critical to performance, power, and reliability in partnership with design, DFx, and ATE teams.
Lead debug of complex silicon and system-level issues, including show-stopper defects, to enable on-time product shipment.
What We Need to See:
MS in EE, CE, Systems Engineering, or equivalent experience.
4+ years of experience in a related hardware engineering role.
Hands-on experience with silicon bring-up, frequency and power characterization, PPA analysis in pre- and post-silicon phases, System/Platform level understanding, tester-to-system correlation, and lab instrumentation (oscilloscopes, multimeters, DAQs).
Scripting proficiency in Python and/or Perl; comfortable in Windows, Linux, and Android environments.
Familiarity with statistical methods and data analysis tools (JMP or equivalent).
Demonstrated use of AI or LLM-based tools (e.g., Claude, Copilot, ChatGPT) in an engineering workflow—scripting acceleration, log triage, data analysis—with clear judgment about output validation and where automation introduces risk.
Ways to stand out from the crowd:
Background in gaming, automotive, or datacenter segments.
Experience building or deploying AI-assisted characterization, log analysis, or debug automation workflows in a production silicon environment.
Familiarity with LLM evaluation, prompt engineering, or agentic scripting pipelines applied to silicon data analysis.
Our team is at the forefront of silicon innovation, advancing groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered one of the technology industry’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
#LI-Hybrid
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
Based on 862 listings with disclosed salaries, most data & analytics jobs in Santa Clara, CA pay between $131k–$334k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 951 open data & analytics positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include NVIDIA, Applied Materials, ServiceNow, Pure Storage, Amazon, among others. Browse the listings above to see every active employer.
Yes — 263 of the 951 open data & analytics positions offer remote or hybrid work (55 remote, 208 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
