Drimva

NVIDIA

Senior GPU System Architect, Context Management and Register Architecture

$184K–$356K

US, CA, Santa Clara · Senior · Full-time · Posted Oct 15, 2026

Experience
5+ years.
Education
Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a similar field, or equivalent experience.

About the job

Architects GPU context-management and register-access systems, guiding them from architectural definition through modeling, validation, and silicon bring-up.

What you'll do

  • Design GPU execution-state save/restore mechanisms and maintain the GPU-wide register address map and access architecture.
  • Define requirements, interfaces, compatibility expectations, and interconnects; develop C++ functional-model support with hardware and software teams.
  • Create validation strategies, debug cross-stack issues through pre-silicon and initial silicon testing, and improve register-interface tools and automation.

What they ask for

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a similar field, or equivalent experience.
  • 5+ years of experience in computer architecture, GPU architecture, CPU architecture, system-on-chip design, or a related area.
  • Experience designing, modeling, or validating sophisticated hardware features from definition through confirmation; proficiency in C++ and Python or a comparable scripting language.
  • Strong understanding of hardware, firmware, and system-software interactions; experience developing architectural standards, specifications, and collaborating across teams.

Nice to have

  • Experience with hardware register architecture, address maps, memory-mapped I/O, or device-control interfaces.
  • Knowledge of context switching, scheduling, virtualization, execution-state management, embedded-controller architectures, interconnects, or related validation and software areas.

Pay

184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)

Tools

C++, Python, RISC-V

AI focus

NVIDIA uses AI tools in its recruiting processes; the role’s AI work is not specified.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)