NVIDIA is looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the tools that shape the future of Chip Design and Verification. This role is at the intersection of software engineering and hardware design. You’ll work on the software that accelerates the development of NVIDIA’s industry-leading networking chips – highway for the AI revolution.
We're looking for someone who combines strong coding skills with preferably a solid understanding of chip design or verification. If you’re excited about solving technical bottlenecks, building scalable tools, and collaborating with designers and verification experts, you’ll feel right at home here.
What you’ll be doing:
Develop software tools for NVIDIA’s chip design and verification flows
Collaborate closely with designers and verification engineers to identify bottlenecks, propose improvements, and build software solutions that boost productivity and quality.
Own your solutions end-to-end — from idea to delivery to support.
What we need to see:
B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering.
Total of 5+ years of experience developing software tools for chip design/verification
Proficiency in software engineering, with strong debugging and system design skills.
Strong communication skills and a proactive approach to working with users and cross-functional teams.
Ways to stand out from the crowd:
2+ years of hands-on experience in chip design or verification.
Proven ability to identify quality or efficiency gaps in design/verification workflows and deliver impactful methodology or automation improvements.
Experience in leading or contributing to cross-team technical discussions to define software solutions
Passion for building usable tools, with deep understanding of user needs, pain points, and design/verification/debug scenarios.
Proficiency in Python
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our team and help us build the future HPC and data centers.
Skills Required
- B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering
- 5+ years developing software tools for chip design/verification
- Proficiency in software engineering with strong debugging and system design skills
- Strong communication skills and proactive collaboration with users and cross-functional teams
- 2+ years hands-on experience in chip design or verification
- Proven ability to identify workflow gaps and deliver methodology or automation improvements
- Experience leading or contributing to cross-team technical discussions to define software solutions
- Passion for building usable tools with deep understanding of user needs and debug scenarios
- Proficiency in Python
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.”
