Senior GPU Memory Architect

Responsibilities

• 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.
• 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.

Additional Information

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.

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Company Intel

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