Santa Clara, California, United States · Hybrid
$168k–$311k/yr
The Silicon Co-Design Group (SCG) sits at the crossroads of architecture, design, marketing, operations, and productization. Our work spans early architecture through final product delivery across Datacenter, Gaming, Rob…
Skills: System validation, Silicon debug, GPU architecture, SoC architecture, Signal integrity
Santa Clara, California, United States · On-site
$224k–$431k/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 leading technology—and amazing people. Today, we’re tapping…
Skills: SoC power management, Thermal management, Performance optimization, C, System software
Santa Clara, California, United States · On-site
$168k–$270k/yr
NVIDIA seeks a skilled engineer to upgrade, automate, tailor, and expand our Privileged Access Management (PAM) and Non-Human Identity (NHI) capabilities to fit agentic era expectations. This position will focus on impro…
Skills: Privileged Access Management, Non-Human Identity, Infrastructure Engineering, Software Engineering, SRE
Santa Clara, California, United States · On-site
$213k–$288k/yr
The world of networking is undergoing a sea change. Commodity routers, repeatable designs, dense fabrics and virtualization techniques dot the data center network landscape. SDN concepts are merging the boundaries of con…
Skills: Software development management, Java, Python, Distributed systems, Network engineering
Santa Clara, California, United States · On-site
$152k–$288k/yr
We are looking for a Software Engineer for Autonomous Vehicles supporting Calibration. We are seeking software engineers with interests in computer vision, calibration, egomotion, sensor fusion, handling large and comple…
Skills: C++, Python, Computer vision, Sensor calibration, CUDA
Santa Clara, California, United States · On-site
$272k–$431k/yr
NVIDIA is seeking a Senior MLOps Engineering Manager to join our Autonomous Driving organization in Santa Clara, CA. This role offers an outstanding opportunity to lead the build, development, and operation of large‑scal…
Skills: Machine Learning Operations, Engineering Management, Autonomous Driving, Data Pipelines, Cloud Infrastructure
Santa Clara, California, United States · On-site
$185k–$275k/yr
DDN is seeking a Staff Engineer to join our Infinia Core team. This is a hands-on technical role combining deep distributed-systems engineering with direct engagement with customers running Infinia in production. You'll …
Skills: Distributed systems, Enterprise storage, Cloud infrastructure, File systems, S3
Santa Clara, California, United States · On-site
$200k–$300k/yr
Role Overview Velaura is building custom silicon for Physical and Embodied AI, and we are building it from a blank sheet. The automation our design and verification engineers use to get from RTL to a clean handoff shapes…
Skills: SystemVerilog, RTL design, Python, Design verification, EDA tools
Santa Clara, California, United States · On-site
$119k–$178k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: ATE testing, Advantest 93K, Teradyne UltraFLEX, Test program development, C++
Santa Clara, California, United States · On-site
$106k–$149k/yr
Job Details: Job Description: About Intel & Silicon Chassis Intel is seeking an Entry Level Design Verification Engineer for the Silicon Chassis team. In this role, you will contribute to the verification of next-generat…
Skills: Design verification, Logic design, Digital circuits, RTL, C++
Santa Clara, California, United States · On-site
$137k–$205k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: Advantest 93K, Teradyne, ATE testing, Test methodology, Silicon process
Santa Clara, California, United States · On-site
$100k–$137k/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: Semiconductor processing, Advanced packaging, Chemical analysis, Plating process, Statistical process control
Santa Clara, California, United States · On-site
$137k–$205k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: ATE test solutions, Advantest 93K, Teradyne, Test program development, Silicon process
Santa Clara, California, United States · On-site
$149k–$224k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: Advantest 93K, Teradyne UltraFLEX, ATE testing, Test methodology, Silicon process
Santa Clara, California, United States · On-site
About the Role We are seeking a Director of ASIC Verification who leads from the front: you'll own verification strategy, sign-off, and the team — and you'll also be one of the strongest hands-on verification engineers h…
Skills: ASIC verification, UVM, Formal verification, Emulation, Coverage-driven closure
Santa Clara, California, United States · On-site
$124k–$171k/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: Process engineering, Hardware characterization, Root cause analysis, Data analysis, Technical reporting
Santa Clara, California, United States · On-site
$136k–$213k/yr
NVIDIA is looking for a Sr. Commodity Manager to join our Global Commodity Management Group. Ideal candidate will own strategic sourcing and commodity management of Semiconductor in Boards and Systems Supply Chain Group.…
Skills: Strategic sourcing, Commodity management, Supply chain management, Semiconductor technology, Supplier relationship management
Santa Clara, California, United States · On-site
$224k–$357k/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: Product Security, Security Architecture, Embedded Systems, Linux, Threat Modeling
Santa Clara, California, United States · On-site
$168k–$322k/yr
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the he…
Skills: Python, Go, Distributed systems, REST APIs, Docker
Santa Clara, California, United States · On-site
$137k–$205k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: ATE testing, Advantest 93K, Teradyne UltraFLEX, Test program development, C++
Santa Clara, California, United States • Hybrid
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The engineer will lead end-to-end system validation, debug, and cross-functional alignment for complex silicon programs. They are responsible for developing AI-enabled validation workflows and driving critical silicon and platform issues to root-cause closure.
Candidates must have a BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering with over 8 years of post-silicon validation experience. Strong hands-on expertise in silicon, board, and software debug across GPU, CPU, or SoC architectures is required.
The Silicon Co-Design Group (SCG) sits at the crossroads of architecture, design, marketing, operations, and productization. Our work spans early architecture through final product delivery across Datacenter, Gaming, Robotics, Automotive, and Embedded markets. We work closely across functions to deliver chips that change what is possible. System Integration sits at the intersection of all of them. It is the layer where every architecture, design, software, and manufacturing decision meets reality. When something breaks late in a program, it usually breaks here first.
We are hiring a Senior Engineer to lead system validation, debug, and cross-functional alignment on one of our most consequential silicon programs. Your work will sit on the critical path of every flagship build, and the judgment you bring to ambiguous, multi-team failures is the difference between shipping on milestone and slipping! The two hardest, highest-leverage problems in this seat:
Find critical silicon and platform issues before they reach the customer — by shifting validation coverage left with system stress, PVT, and feature-interaction tests that catch escapes before software hardens. Your work shows up in DPPM, escape rate, and ramp confidence.
Build AI-enabled validation as a real capability, not a demo — by deploying debug, triage, root-cause hypothesis generation, and regression workflows with the evals and guardrails that make them trustworthy enough to gate production decisions.
Own end-to-end system validation of NVIDIA GPU, SoC, and platform programs — feature checks, PVT stress, system-stress campaigns at scale, and multi-unit fleet testing.
Lead debug of the hardest cross-stack issues — logic, signal integrity, power delivery, firmware, and software interaction — and drive them to root cause with reusable workarounds and productized fixes.
Develop test plans, scripts, and automation for next-generation chips ahead of physical builds, translating architecture, boot flows, high-speed I/O, and power and thermal dependencies into executable coverage.
Design and deploy AI-enabled debug and validation workflows used by the team — with explicit guardrails (evals, regression validation, false-positive handling) and measurable impact on cycle time, debug velocity, or escape rate.
Translate complex silicon and system risk into decision-ready options for technical and executive audiences — without padding or hand-waving.
Partner with globally distributed teams across silicon design, DFT, firmware, software, manufacturing, and platform engineering — including counterpart engineers in India and other major hubs.
Lead crisis-mode debug task forces when a program is stuck, and convert the learnings into reusable methodology for adjacent programs.
BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering (or equivalent experience), plus 8+ years of post-silicon validation, system integration, or platform debug experience on shipped GPU, CPU, or SoC products.
Hands-on debug depth across silicon, board, and software boundaries — logic design, signal integrity, power delivery, high-speed I/O, and PVT behavior — with strong EE fundamentals across SI/PI, power delivery, and thermal, and a working understanding of GPU, CPU, or SoC architecture across PC, Datacenter, or Automotive.
At least one specific example of taking an ambiguous, multi-team failure to root-cause closure with a productized fix, and a track record of leading a project team end-to-end through a real crisis with decision points you owned.
Demonstrated AI-driven validation workflow you built or scaled, not just used — with adoption beyond yourself and measurable impact on debug velocity, coverage, or escape rate. You can describe the guardrails you put in place and where AI is dangerous in your workflow.
A history of building reusable validation methodology, debug playbooks, or test frameworks that were adopted by other programs or teams — backed by patents, conference papers, invited talks, or recognized contributions.
Hands-on subsystem depth in HBM, SerDes or high-speed I/O, power and thermal, or advanced packaging — failure modes, debug instrumentation, and the tradeoffs that show up in production.
Experience partnering deeply with a counterpart team in India or another major engineering hub — examples of shared culture, shared metrics, and shared on-call across geographies.
AI work that goes beyond personal-copilot use — agentic workflows, RAG-grounded debug assistants, regression bucketing, or automated triage deployed at team scope with adoption metrics.
NVIDIA is the world leader in accelerated computing, and our work powers AI, gaming, robotics, autonomous systems, and scientific discovery. We invest in our people with competitive benefits, flexible time off, and continuous learning, and we build a team where everyone can do their best work. Come help us build chips that change what is possible!
#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.
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