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Senior CPU Tooling and Design Automation Engineer

NVIDIANVIDIA·Semiconductors

Compensation

$184,000 - $356,500/year

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Posted

11 days

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About the role

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 2026.

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 & Tags

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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About NVIDIA

NVDA$225.16-0.06%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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