NVIDIA is rebuilding the way chips get built, and we’re looking for a senior engineer to help lead that transformation.
This is a full-stack platform role on the team responsible for the development environment behind our silicon. You will help define how agentic orchestration and durable execution become first-class parts of the chip-design workflow.
We’re looking for someone who has built complex systems before — across backend, frontend, and infrastructure — and is ready to set the technical direction for what comes next.
What You'll be doing
Architect and lead full-stack EDA platforms end to end, from data models and backend services to the frontends engineers use every day — while making key technical and build-vs-buy decisions.
Own the infrastructure these platforms run on at scale, including CI/CD, containerization, observability, on-prem compute, and cloud-native Kubernetes environments.
Set engineering standards across the team by leading design reviews, improving reliability and developer experience, and mentoring engineers.
Act as a technical leader across silicon, backend, and design-automation teams, helping turn fragile manual flows into dependable automated systems used by many engineers.
What we need to see
Bachelor’s or master’s degree in Computer Science, Computer Engineering, or equivalent experience.
5+ years of software engineering experience, with a strong track record of designing, shipping, and operating production systems.
Proven full-stack and infrastructure ownership across multiple layers of the stack — not just isolated feature development.
Strong technical judgment and the ability to make and defend architectural decisions under real-world constraints.
Experience mentoring engineers and influencing technical direction across teams.
Ways to stand out form the crowd
Experience building developer platforms, EDA/CAD tooling, or infrastructure for hardware or silicon teams, with a working understanding of VLSI design flows.
Experience with modern build systems, especially Bazel, including large-scale builds, dependency modeling, caching, CI integration, and reproducible developer workflows.
Production experience designing and operating durable execution platforms at scale, such as Temporal, Restate, AWS Step Functions, or DBOS.
Deep Kubernetes and HPC scheduling experience, including LSF or Slurm, and experience running large workloads reliably on AWS, GCP, or Azure.
Strong systems-design instincts, fluency with graph algorithms and large-scale data structures, and strong SQL skills.
At NVIDIA, we are committed to fostering a diverse and inclusive work environment. We believe that diverse perspectives drive innovation and enable us to compete in the global market. We strictly adhere to equal opportunity employment principles and offer reasonable accommodations/adjustments to qualified individuals with disabilities. Join our team and be a part of our journey to shape the future of technology.
Skills Required
- Bachelor's or master's degree in Computer Science, Computer Engineering, or equivalent experience
- 5+ years of software engineering experience, with a strong track record of designing, shipping, and operating production systems
- Proven full-stack and infrastructure ownership across multiple layers of the stack
- Experience mentoring engineers and influencing technical direction across teams
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
