NVIDIA is looking for a Senior CPU Tooling and Design Automation Engineer! Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU tooling and design automation team and help us push boundaries for all our CPU products!
What you'll be doing:
Work on CAD tools development for the CPU/Fabric teams to improve efficiency
Develop Network-on-Chip (NoC)/SoC tooling, working closely with architects, chip leads and designers
Push the frontiers of NoC/SoC tooling to enable productivity improvements
Understand the chip design flow and distill this knowledge into feature requirements for tooling
Develop complex automation involving advanced graph algorithms leading towards more push-button solutions
Work with teams throughout the company (Architects, RTL, PD etc.) on implementing cross-team solutions to achieve project targets
Drive cross-team methodologies for deployment of this tooling
What We Need To See:
Bachelor’s degree in Computer Engineering or Electrical Engineering (or equivalent experience)
5+ years of relevant work experience in EDA tool development and developing flows
Proficiency with EDA style databases and basic graph algorithms
Experience with build flows such as Make and scripting languages
Experience deploying in-house EDA tools across groups, solving flow issues etc.
Strong interpersonal, communication and teamwork skills.
A drive to continuously learn and expand architectural breadth and depth
Ways to stand out from the crowd:
Background with Network-on-Chip tooling is a plus
Experience with netlist level tools is a plus
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.Skills Required
- Bachelor's degree in Computer Engineering or Electrical Engineering (or equivalent experience)
- 5+ years of relevant work experience in EDA tool development and developing flows
- Proficiency with EDA-style databases and basic graph algorithms
- Experience with build flows such as Make and scripting languages
- Experience deploying in-house EDA tools across groups and solving flow issues
- Understanding of chip design flow and ability to translate it into tooling requirements
- Strong interpersonal, communication, and teamwork skills
- Drive to continuously learn and expand architectural breadth and depth
- Background with Network-on-Chip (NoC) tooling
- Experience with netlist-level tools
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.”
.jpeg)
