Senior GPU Memory Architect

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA is seeking a Senior GPU Memory Architect to design and optimize memory systems for cutting-edge GPUs. You will drive architectural decisions, simulate performance, and create models to improve power, area, and efficiency while mentoring junior engineers.

Collaboration with industry partners will shape software interfaces to the GPU. The role emphasizes leadership in memory subsystem design, performance analysis, and experimental validation, contributing to NVIDIA's ongoing AI, gaming, and

Qualifications

• Master degree or equivalent in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.
• 6+ years of meaningful work experience in GPU or CPU Architecture with memory caching and interconnects.
• Strong communication and interpersonal skills; ability to mentor junior engineers and interns.

Responsibilities

• Develop architecture and micro-architecture to improve GPU memory system performance, power, area, and schedule.
• Participate in performance simulations to improve memory access efficiency.
• Implement and maintain high-level functional and performance models.
• Analyze benchmarks and workloads to identify microarchitecture optimizations.
• Define experiments and present results to the team, proposing improvements.
• Create architectural specs and collaborate with industry partners on software interfaces to the GPU.
• Debug performance and functional issues with models, RTL, and silicon.

Skills

GPU architecture

Memory caching

Interconnects

Mentoring

Communication

Education

Master's degree or equivalent

PhD preferred

Job description

We are now looking for a Senior GPU Memory Architect.

NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA’s world-changing solutions for autonomous vehicles, AI, gaming, mobile systems.

What you will be doing:

• Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
• Participating in performance simulation of features to improve memory access efficiency.
• Implementing and maintaining high-level functional and performance models.
• Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.
• Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement.
• Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which take into account software interfaces to the GPU.
• Debugging performance and functional issues with high-level models, RTL simulation, and silicon.

What we need to see:

• Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.
• 6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects.
• Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Your history of successfully mentoring junior engineers and interns is a huge plus.

Ways to stand out from the crowd:

• Experience with hardware memory management unit, prefetching, or memory subsystems.
• Practical experience with multi-core systems and memory coherency.

Do you desire to be a part of a team of talented engineers developing ground-breaking GPU architectures from specification through implementation to extend the state of the art in GPU performance and functionality? Are you motivated to solve complex problems while optimizing performance, area, complexity, and power? If so, our GPU memory architecture group is looking for you. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented market opportunities, our best-in-class engineering teams are rapidly growing. If you’re a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!

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 May 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.