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
NVIDIA Silicon Co-Design Group is seeking a versatile engineer to be part of the HW ArchDev team. The SSG team is uniquely positioned to have an end-to-end view of the product development cycle - from early arch definiti…
Skills: High-speed IO, Power management, NVLink, NVLink-C2C, System-level power modeling
Santa Clara, California, United States · On-site
$152k–$242k/yr
NVIDIA, widely recognized as one of the world’s most desirable employers, believes open-weight models are foundational to American AI leadership, cybersecurity, and defense through broad scientific scrutiny. As part of t…
Skills: Vulnerability Research, Fuzzing, Program Analysis, Secure Development, C
Santa Clara, California, United States · On-site
$320k–$489k/yr
NVIDIA is seeking a Distinguished Engineer to serve as the founding technical leader for our AI Safety & Security Engineering team. Rooted in the firm belief that open-weight models, transparency, and broad scientific sc…
Skills: Distributed Systems Architecture, ML Pipelines, Vulnerability Research, Security Engineering, Agent Frameworks
Santa Clara, California, United States · On-site
$152k–$242k/yr
NVIDIA is widely recognized as one of the most sought-after employers, with some of the most dedicated people in the world working for us! We believe open-weight models are foundational to American AI leadership and cybe…
Skills: ML Engineering, Evaluation Infrastructure, Python, Benchmark Design, Experiment Tracking
Santa Clara, California, United States · On-site
$152k–$288k/yr
NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU/ SOC Architecture teams. A key part of NVIDIA's strength…
Skills: C++, C, SystemC, TLM, Computer Architecture
Santa Clara, California, United States · On-site
$272k–$431k/yr
NVIDIA is widely recognized as one of the most sought-after employers, with some of the most dedicated people in the world working for us! We believe open-weight models are foundational to American AI leadership and cybe…
Skills: Engineering Management, AI Safety, Security Engineering, Vulnerability Research, ML Infrastructure
Santa Clara, California, United States · On-site
$184k–$357k/yr
GeForce NOW is NVIDIA's Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device type and capabilities - low-end PCs, Macs, TV or mobile devices. Using the most sophi…
Skills: Kubernetes, GitOps, Go, Python, Terraform
pune, Maharashtra, India · On-site
NVIDIA is leading the next era of AI computing, bringing Generative AI from the cloud to local devices. The Local AI team develops the software platform that enables developers, enterprises, and creators to build and run…
Skills: C#, Java, Python, CI/CD Pipelines, Kubernetes
Yokneam Ilit, North District, Israel · On-site
In this role, you will tackle one of the most critical challenges in high-performance networking: Power. This is an opportunity to join a high-impact team at the ground floor of a subject that is becoming a top priority.…
Skills: Power Analysis, Micro-architecture, Digital Design, SystemVerilog, Silicon Validation
Bengaluru, Karnataka, India · Hybrid
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're tapping into the unlimited potential of AI to define the next era of computing — an era in which our…
Skills: Software Architecture, Python, Perl, JavaScript, Distributed Systems
pune, Maharashtra, India · On-site
NVIDIA has continuously reinvented itself for over two decades. The invention of the GPU in 1999 fueled the growth of PC gaming, redefined modern computer graphics, and revolutionized parallel computing. More recently, G…
Skills: C++, AI Inference, CUDA, PyTorch, TensorRT
Bengaluru, Karnataka, India · On-site
NVIDIA is at the forefront of accelerated computing, autonomous vehicles, artificial intelligence, and advanced embedded systems. Our DRIVE platform enables the development of safe, secure, and intelligent vehicles that …
Skills: Linux Kernel, Automotive Cybersecurity, ISO/SAE 21434, TARA, C Programming
pune, Maharashtra, India · On-site
NVIDIA has continuously reinvented itself for more than two decades. The invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. …
Skills: C++, AI Inference, PyTorch, TensorRT, Llama.cpp
Bengaluru, Karnataka, India · Hybrid
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial int…
Skills: ASIC Design, Static Timing Analysis, Physical Design, RTL2GDS, Synopsys Primetime
pune, Maharashtra, India · On-site
NVIDIA has continuously reinvented itself for over two decades. The invention of the GPU in 1999 propelled the growth of PC gaming, redefined modern computer graphics, and revolutionized parallel computing. More recently…
Skills: Engineering Leadership, C++, AI Inference, Deep Learning Frameworks, GPU Programming
Bengaluru, Karnataka, India · On-site
NVIDIA is at the forefront of accelerated computing, autonomous vehicles, artificial intelligence, and advanced embedded systems. Our DRIVE platform enables the development of safe, secure, and intelligent vehicles that …
Skills: Linux Kernel Development, Automotive Cybersecurity, ISO/SAE 21434, C Programming, Threat Analysis and Risk Assessment (TARA)
Bengaluru, Karnataka, India · Hybrid
For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movi…
Skills: GitLab, SCM, Python, Perl, Ruby
Berlin, Germany · On-site
We are seeking a Senior Solutions Architect with strong hands-on experience in deploying, debugging, and optimizing training and inference workloads on large-scale GPU clusters. As we support customers and partners acros…
Skills: GPU Cluster Optimization, HPC, AI Training and Inference, CUDA, C++
Santa Clara, California, United States · On-site
$224k–$397k/yr
We are looking for Sales GTM lead to drive our partnership and sales go-to-market strategies with AI Native ISVS, Foundational Model Providers within the NVIDIA WorldWide Field Operations. The ideal candidate will have a…
Skills: Partner Alliance Management, Go-To-Market Strategy, Co-Selling, Co-Marketing, AI Native ISV Partnerships
Santa Clara, California, United States • Hybrid
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You will own silicon speed characterization from power-on through production, ensuring frequency, Vmin, and timing margins meet specifications. You will also develop automated AI-driven tools and data pipelines to analyze silicon performance and drive resolution of architectural or design bottlenecks.
Candidates must have a BS or MS in Electrical, Computer, or Systems Engineering with at least 5 years of hands-on experience in silicon validation and timing analysis. Strong proficiency in computer architecture, static timing analysis, and scripting languages like Python, Perl, or C++ is required.
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 Silicon Co-Design Group is where architecture intent becomes silicon reality. We own the boundary between what was designed and what was built, and we are the team that knows the difference. When a program ships at frequency and at quality, this team is a reason why.
You will be the person who follows through between simulation and silicon. When the model is wrong, a frequency corner that doesn't hold, a Vmin that walks, a critical path that timing analysis missed, you find out why, and your data is what the rest of the program acts on. Architecture, design, and product teams do not guess. They use your numbers. The engineers who do this well are rare. They think like circuit designers, work like experimentalists, and reason like data scientists. If that is you, read on.
Own silicon speed characterization from first power-on through production sign-off, covering frequency, Vmin, Vmax, and timing margins across the full PVT space.
Close the correlation gap. Tie pre-silicon timing analysis and critical path predictions to measured silicon, quantify where the model diverges from reality, and produce analysis that architecture and design can act on with confidence.
Trace failures to their source, whether a microarchitectural bottleneck, a critical path that doesn't close under voltage, a clocking issue, or a process corner the model didn't anticipate, and drive the resolution.
Own and build AI agents that work at your direction: automated test orchestration, intelligent data pipelines, and analysis flows that expand coverage and compress cycle time without sacrificing difficulty. Know where AI accelerates real work and where it introduces risk.
Sit at the decision table. Your data surfaces tradeoffs across architecture, VLSI, ASIC, firmware, and product teams. Your analysis is what settles calls.
BS or MS in Electrical Engineering, Computer Engineering, or Systems Engineering, or equivalent experience.
5+ years with hands-on silicon: bring-up, post-silicon speed validation, frequency characterization, or timing analysis on real hardware.
Strong computer architecture fundamentals including pipeline structures, clocking, memory hierarchies, and how microarchitectural decisions propagate into frequency and power.
Depth in static timing analysis, critical path identification, and the ability to read and reason about timing reports at the block and chip level.
Enough design intuition to know what you're measuring and enough statistical fluency to know what the data means.
Proficiency in silicon margining, guard-banding, and PVT/binning dependencies.
Scripting depth in Python, Perl, or C/C++. You build the tools your work depends on.
You've closed the prediction-to-silicon loop with a correlation methodology precise enough that other teams adopted it.
You've traced a frequency miss to a specific critical path, microarchitectural interaction, or process corner and driven the fix all the way through.
Built or deployed AI-driven flows for characterization or analysis, and can speak to both the outcome and the guardrails you put in place.
Background is in datacenter-scale or high-performance silicon and you know how complexity at scale changes the failure landscape and raises the cost of being wrong.
The chips you characterize run the world's AI infrastructure. The engineers who do this work don't just report what the silicon does, they define what it can become. If that's the level you want to operate at, we want to hear from you.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the world’s most desirable employers in the technology field. We encourage you to join our team, which consists of some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about joining an outstanding team supporting the latest in GPU and AI technology? If so, we want to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.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
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
