Senior GPU Memory Architect

What you'll do

• Develop GPU memory system and management micro-architecture to optimize performance, power efficiency, area, and complexity.
• Perform performance simulations of features to improve memory access efficiency.
• Implement and maintain high-level functional and performance models for the architecture.
• Analyze benchmarks and application workloads to identify specific areas for microarchitecture optimizations.
• Design and conduct experiments to study machine behavior and propose mechanisms for improvement.
• Create architectural specifications and customer-facing documentation for new products.
• Collaborate with industry partners to define specifications that incorporate software interfaces to the GPU.
• Debug performance and functional issues using high-level models, RTL simulation, and silicon.

What we're looking for

• Master's degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering, or a related field.
• A PhD with a focus in computer architecture (preferred).
• 6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in memory caching and interconnects.
• Strong communication and interpersonal skills to work in a dynamic, product-oriented, distributed team.
• Experience mentoring junior engineers and interns (preferred).
• Experience with hardware memory management unit, prefetching, or memory subsystems (preferred).
• Practical experience with multi-core systems and memory coherency (preferred).