Senior CUDA Kernel Architect — GPU Scheduling & OS

NVIDIA AI; Santa Clara (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA AI in Santa Clara, CA seeks an architect to design and implement features for the CUDA Driver, optimizing GPU kernel scheduling and AI/ML workloads. You will drive enhancements across the compute stack and coordinate with cross-team partners to advance CUDA programming models.

The role demands strong C/C++, system-level software experience, and a proven ability to work on low-latency Linux kernel/OS interfaces in a multi-threaded environment.

Qualifications

• Requires a degree in Computer Science or Electrical Engineering with at least 4 years of experience in C/C++ and system-level software development.
• Candidates should have a strong understanding of OS interfaces, memory management, and multithreaded programming.

Responsibilities

• Architect and implement new features for the CUDA Driver to optimize GPU kernel scheduling and AI/ML workloads.
• Collaborate across teams to extend CUDA programming models and improve the overall compute platform.

Skills

CUDA

C/C++

Device Drivers

Multithreading

Operating Systems

System Architecture

Kernel Mode Development

Parallel Computing

Linux Systems Software

Memory Hierarchy

Education

Bachelor's degree in Computer Science or Electrical Engineering

Job description

NVIDIA AI in Santa Clara, CA seeks an architect to design and implement features for the CUDA Driver, optimizing GPU kernel scheduling and AI/ML workloads. You will drive enhancements across the compute stack and coordinate with cross-team partners to advance CUDA programming models.

The role demands strong C/C++, system-level software experience, and a proven ability to work on low-latency Linux kernel/OS interfaces in a multi-threaded environment.