Principal GPU Memory Simulation Architect

About the role

We are seeking a world-class Principal Memory Simulation Architect to design and develop the next-generation GPU memory and on-chip interconnect performance and functional models. Ideal candidates will bring a strong track record in large-scale architectural simulation, AI-assisted model generation, and deep expertise in GPU memory systems.

Responsibilities

• Develop, implement, and refine NOC performance and functional models employing the latest AI technologies to evaluate architectural choices and predict system behavior.
• Define and architect innovative features for next-generation GPU memory and on-chip interconnect subsystems.
• Analyze benchmarks, application workloads, and simulation/emulation results to identify architecture optimizations.
• Collaborate with multi-disciplinary engineering teams to translate product requirements into architectural solutions.

Requirements

• Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience)
• 15+ years of relevant professional experience
• Strong performance modeling experience, with demonstrated ability to build and validate architectural simulation infrastructure at scale
• Experience in large-scale SW development projects and strong programming skills in C/C++ and Python or other scripting languages
• Deep GPU architecture experience, including memory systems and on-chip interconnect design
• Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners

Qualifications

• Background in parallel computing, datacenter architecture, or large-scale interconnect architecture
• Experience in writing, running, and analyzing test cases within performance modeling frameworks
• Experience in using AI tools for code development, validation, and analysis

Skills

• Strong performance modeling experience
• Ability to build and validate architectural simulation infrastructure at scale
• Deep GPU architecture experience
• Excellent communication skills
• Experience in parallel computing, datacenter architecture, or large-scale interconnect architecture
• Experience in writing, running, and analyzing test cases within performance modeling frameworks
• Experience in using AI tools for code development, validation, and analysis

Benefits

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 272,000 USD - 431,250 USD.

Pay

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 272,000 USD - 431,250 USD.

Schedule

• This position offers the opportunity to have a real impact in a fast-paced, technology-focused company!