NVIDIA is looking for a passionate Senior Software Engineer to join our Chip Design CAD team. In this role, you will contribute and work at the interesting junction of electrical and software engineering, developing SW tools and solutions used to design the next generation of Smart Adapters, Switches and GPUs for advanced data centers across the world.
What you'll be doing:
Develop innovative SW solutions
Take part in defining methodologies affecting design and verification engineers’ day-to-day work
Improve existing tools, which are used in-house by electrical engineers for designing the next generation SoCs and Switches
Collaborate with designers, verification specialists and architects to accomplish your tasks
What we need to see:
Computer Science degree with excellent grades
5+ years of practical experience
Motivated, responsive, and keen on process improvement
Strong analytical, debugging and problem-solving skills
Strong programming skills, with familiarity using AI-powered development tools and workflows
Ways to stand out from the crowd:
Experience in DA / CAD team
Knowledge in FE/BE chip design or Dynamic verification
Experience using AI-based IDEs, coding assistants, or agentic tools to improve development productivity
Practical experience developing, configuring, or training AI agents to solve engineering problems
Experience in a Linux environment
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're creative and hands-on with a real passion for technology, we want to hear from you.
NVIDIA is committed to fostering a diverse 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.
Skills Required
- Computer Science degree with excellent grades
- 5+ years of practical experience
- Strong programming skills
- Familiarity with AI-powered development tools and workflows
- Strong analytical, debugging, and problem-solving skills
- Motivated, responsive, and interested in process improvement
- Experience in a DA or CAD team
- Knowledge of front-end or back-end chip design or dynamic verification
- Experience using AI-based IDEs, coding assistants, or agentic tools
- Experience developing, configuring, or training AI agents for engineering problems
- Experience in a Linux environment
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.
-
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.
-
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.
-
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.”
