Posted:
3/6/2024, 4:00:00 PM
Location(s):
Austin, Texas, United States ⋅ California, United States ⋅ Texas, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Mechanical Engineering
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 in order 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:
Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
10+ years of relevant work experience in EDA tool development
10+ years of relevant development experience with large C++ codebases
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:
Experience with approximation algorithms is a plus
Background with Network-on-Chip tooling is nice to have
Experience with wire-level EDA databases will help you stand out
NVIDIA's CPUs, GPUs and SOCs are world leaders in performance and efficiency and rely on CPU cores to efficiently orchestrate the system. The NVIDIA CPU team builds new, innovative products tailored to cooperate with other technologies to tackle ground-breaking challenges.
The base salary range is 196,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality