Nvidia Principal GPU Memory Architect 

United States, Texas 

79327824

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.

• 12+ 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.