NVIDIA has continuously reinvented itself over two decades. Our 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. Nvidia is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work to amplify human imagination and intelligence. Make the choice to join us today!
As a software engineer you will craft and implement APIs and services to support the execution of workflows to validate the design of NVIDIA's chips. The systems we develop will operate at a large scale, running millions of tests per day in a distributed cloud computing environment with thousands of heterogeneous servers to verify multiple designs in many configurations. You will continuously innovate and develop scalable, reliable, high-performance systems, and tools to enable the next generation of chips.
What you'll be doing:Build microservices that are reliable, scalable, maintainable, and accessible to AI agents.
Improve current systems to enhance resource scheduling, optimize performance, increase reliability, and deliver higher throughput.
Develop streamlined, reliable interfaces optimized for usability and scalability across thousands of engineering users.
Join an agile and proactive software development team with very high production quality standards.
Participate in the full life-cycle of tool development, test, and deployment.
Partner with internal customers to analyze workflows and system environments, delivering solutions optimized for their specific requirements.
Play a key role in enhancing product quality and development efficiency of NVIDIA’s next-generation chips.
Excellent software engineering skills, including applied knowledge of OOP, design patterns, distributed systems, multiprogramming, and microservices.
Skilled in Python and common service (FastAPI) and/or multiprogramming-related (asyncio) packages.
MS (preferred), BS, or equivalent experience in Computer Science/Engineering.
4+ years of experience.
Excellent planning, presentation, and general communication skills.
The flexibility and adaptability to work in an exciting environment with changing requirements.
Experience with distributed container orchestration systems like Kubernetes.
Experience developing and deploying automated distributed testing infrastructure.
Familiarity with EDA or related chip design and verification workflows.
A passion for improving the productivity and efficiency of other engineers.
Experience with noSQL database technologies like Redis and MongoDB.
Expertise in JavaScript, TypeScript, Perl, or C/C++.
#LI-Hybrid
Skills Required
- Excellent software engineering skills including OOP, design patterns, distributed systems
- Skilled in Python and FastAPI/asyncio packages
- MS in Computer Science/Engineering or equivalent
- 4+ years of experience
- Experience with distributed container orchestration systems like Kubernetes
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.”
