Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Algorithms @ 6
Communication @ 7
Deep Learning
HPC
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is looking for a Senior CPU Tooling and Design Automation Engineer 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. The role is part of the CPU tooling and design automation team.
Responsibilities
- Work on computer-aided design (CAD) tools development for CPU and fabric teams to improve efficiency.
- Develop Network-on-Chip (NoC) and system-on-chip (SoC) tooling in close collaboration with architects, chip leads, and designers.
- Advance NoC and SoC tooling to enable productivity improvements.
- Understand the chip design flow and translate this knowledge into feature requirements for tooling.
- Develop complex automation involving advanced graph algorithms to enable more push-button solutions.
- Collaborate with teams throughout the company, including architecture, RTL, and physical design teams, to implement cross-team solutions and achieve project targets.
- Drive cross-team methodologies for deploying the tooling.
Requirements
- Bachelor's degree in Computer Engineering or Electrical Engineering, or equivalent experience.
- 5+ years of relevant work experience in EDA tool development and flow development.
- 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.
- Strong interpersonal, communication, and teamwork skills.
- A drive to continuously learn and expand architectural breadth and depth.
Preferred Qualifications
- Background in Network-on-Chip tooling.
- Experience with netlist-level tools.
Compensation and Benefits
The base salary range is USD 136,000–218,500 for Level 3 and USD 168,000–264,500 for Level 4. Base salary is determined based on location, experience, and the pay of employees in similar positions. Employees are also eligible for equity and benefits.
Applications will be accepted at least until August 7, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.