Senior GPU Memory Architect
About the role
NVIDIA is seeking a Senior GPU Memory Architect to join a team focused on creating innovative products for autonomous vehicles, AI, gaming, and mobile systems. The ideal candidate will develop and optimize GPU memory architecture and micro-architecture, participate in performance simulations, implement and maintain high-level models, analyze benchmarks, and define experiments to improve memory access efficiency.
Responsibilities
- Developing architecture and micro-architecture to improve GPU memory system and memory management
- Optimizing performance, power efficiency, complexity, area, effort, and schedule
- Participating in performance simulation to improve memory access efficiency
- Implementing and maintaining high-level functional and performance models
- Analyzing benchmarks, application workloads, and performance simulation results for microarchitecture optimizations
- Defining and performing experiments to study the machine in action and propose mechanisms for improvement
- Creating architectural specifications and customer-facing documents
- Working with partners in the industry to generate specifications that consider software interfaces to the GPU
- Debugging 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
Qualifications
- 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
- 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. NVIDIA is widely considered to be one of the technology world's most desirable employers. 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.