Senior GPU Architect

NVIDIA; United States; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a seasoned GPU/CPU System Architecture engineer to lead architecture innovations, optimize scalability and performance, and guide tool development for yield and area. You will collaborate with modeling teams, design, and systems engineering to evaluate trade-offs and drive architecture choices.

The role requires advanced degrees and 10+ years of relevant experience, strong C++/Python skills, and a track record of delivering complex features.

Qualifications

• 10+ years of GPU/CPU system architecture experience.
• Proficient in C++ and Python.
• Strong collaboration and problem-solving skills.

Responsibilities

• Develop GPU architecture innovations and improvements.
• Develop and enhance chip design infrastructure and yield simulators.
• Develop tests, test plans and testing infrastructure.
• Collaborate across modeling teams to optimize yield and performance.
• Implement and maintain functional and yield models.
• Document architecture specifications and review trade-offs with teams.
• Guide verification tools and resources for future GPUs.

Skills

C++

Python

Hardware modeling

Debugging

Education

Bachelor's/Master's/PhD in Computer Engineering or Computer Science

Job description

This is an outstanding opportunity to join a world-class team and play a pivotal role in crafting the future of GPU technology. At NVIDIA, you will work with dedicated individuals in an inclusive and collaborative environment where your hardworking nature will drive flawless execution and ambitious projects.

What you will be doing:

• Develop GPU architecture innovations and improvements, optimizing along the axes of scalability/modularity, performance, area, yield, effort, and schedule.
• Develop and enhance chip design infrastructure, including functional models and yield simulators, testbench components and analysis tools, to evaluate configurations under different constraints.
• Develop tests, test plans and testing infrastructure for new architectures/ features
• Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to optimize chip yield and performance
• Implement and maintain functional, performance, and yield models
• Document architecture specifications; work with ASIC design, software, and VLSI teams to review and explore trade-offs, define solutions, and track progress.
• Collaborate with other functional teams (Design, Floorplan, Packaging and Systems Engineering, etc) to validate choices against performance, cost, and scalability targets.
• Guide the improvement of functional verification tools and expand other resources to support future GPU architectures

What we need to see:

• Bachelors/Master's/PhD in Computer Engineering, Computer Science or related fields (or equivalent experience)
• A minimum of 10 years of relevant work experience in GPU or CPU System Architecture development
• Proficient programming skills in C++ and Python.
• Solid background in Computer Architecture with experience in modeling
• Strong communication and interpersonal skills, as well as the ability to thrive in a dynamic, collaborative, distributed team.
• Strong problem-solving and debugging skills, with a track record of driving issues to closure

Ways to stand out from the crowd:

• Experience with GPU architecture and/or Network-on-Chip (NoC)/Interconnect. Knowledgeable in system level functions such as reset and boot, DFT.
• Consistent track record of efficiently implementing complex architectural features
• Outstanding problem-solving skills with a focus on optimizing performance, area, complexity, and power.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 14, 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.