Senior GPU Memory Architect, Senior GPU Memory Architect

Hardware Engineering Recruiter at NVIDIA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self‑driving cars that can understand the world.

Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a world‑class computer architect to contribute to the development of future high‑performance GPU computing systems. Ideal candidates will have a strong track record of understanding and analysing memory systems architecture to improve performance, power, and area (PPA). A broad perspective across the field of CPU/GPU architecture and depth in the area of PPA analysis is highly desirable.

• Define and architect innovative features for next‑generation GPU memory and on‑chip interconnect subsystems.
• Develop, implement, and refine performance models to evaluate architectural choices and predict subsystem behaviour.
• Execute test cases to validate performance models and ensure robust feature integration.
• Analyse benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimisation.
• Collaborate closely with multidisciplinary engineering teams to translate product requirements into architectural solutions.

• Bachelor’s degree (or equivalent experience) in Computer Engineering, Electrical Engineering, Computer Science, or a related field with a minimum of 8+ years of relevant professional experience, or an MS with 6+ years, or a PhD with 4+ years.
• Understanding of CPU or GPU architecture, memory systems, or network‑on‑chip design.
• Experience in large‑scale software development projects and strong programming skills in C/C++ and Python or other scripting languages.
• Excellent written and verbal communication skills for effective collaboration with internal teams and external partners.

• Background in parallel computing, datacenter architecture, or large‑scale interconnect architecture.
• Expertise in data analysis and visualization using tools such as pandas and related technologies.
• Experience writing, running, and analysing test cases within performance‑modelling frameworks.
• Experience using AI tools for code development, validation, and analysis.

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 – $287,500 for Level 4, and $224,000 – $356,500 for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 9, 2026.

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. 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.