Senior GPU Memory Architect
About the role
NVIDIA is seeking a Senior GPU Memory Architect to join a team working on innovative products for autonomous vehicles, AI, gaming, and mobile systems. The ideal candidate will develop and optimize GPU memory architectures and micro-architectures, participate in performance simulations, implement and maintain high-level models, analyze benchmarks, and debug performance issues.
Responsibilities
- Develop architecture and micro-architecture to improve GPU memory system and memory management
- Optimize along the axes of performance, power efficiency, complexity, area, effort, and schedule
- Participate in performance simulation to improve memory access efficiency
- Implement and maintain high-level functional and performance models
- Analyze benchmarks, application workloads, and performance simulation results to identify microarchitecture optimization areas
- Create architectural specifications and customer-facing documents
- Work with partners in the industry to generate specifications that consider software interfaces to the GPU
- Debug performance and functional issues using high-level models, RTL simulation, and silicon
Requirements
- Master's 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 required
- Ability to work in a dynamic, product-oriented, distributed team
- Experience with hardware memory management unit, prefetching, or memory subsystems
- Practical experience with multi-core systems and memory coherency
Qualifications
- Experience with GPU or CPU Architecture and development specifically in the area of memory caching and interconnects
- Strong communication and interpersonal skills
- Ability to work in a dynamic, product-oriented, distributed team
- Experience with hardware memory management unit, prefetching, or memory subsystems
- Practical experience with multi-core systems and memory coherency
Skills
- Experience with GPU or CPU Architecture and development specifically in the area of memory caching and interconnects
- Strong communication and interpersonal skills
- Ability to work in a dynamic, product-oriented, distributed team
- Experience with hardware memory management unit, prefetching, or memory subsystems
- Practical experience with multi-core systems and memory coherency
Benefits
Competitive salaries and a generous benefits package are offered. 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.