Senior GPU Memory System Architect

We are 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 role involves developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system, Memory management, Virtualization & security optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.

Key responsibilities include:

• Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system, Memory management, Virtualization & security optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
• Participating in performance simulation of features to improve translation efficiency to access memory and io using protocol like PCIe.
• 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 consider software interfaces to the GPU.
• Debugging performance and functional issues with high-level models, RTL simulation, silicon & systems.

Requirements include:

• 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.
• 3+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area interconnects, QoS. Memory hierarchy, Memory model & ordering, multifunction HW accelerator, software, virtualization, and security.
• 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.

Preferred qualifications include:

• Experience with hardware memory management unit, prefetching, accelerator IPs, memory subsystem hierarchy.
• Practical experience with multi-core systems, coherent interconnects & Industry IO protocol like PCIe/CXL, encryption, compression, confidential compute, or virtualization & security.