Senior CUDA Driver Engineer: Graphs & MPS

NVIDIA AI; Santa Clara (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI in Santa Clara seeks an Architect/Developer to design and implement CUDA Driver features that accelerate diverse workloads, focusing on CUDA Graphs and MPS. You will collaborate with cross-functional teams to extend CUDA programming models and ship driver-level capabilities.

The ideal candidate has strong C/C++, deep OS and multithreading expertise, and the ability to work across kernel and user-space boundaries to influence next-generation GPU acceleration.

Qualifications

• Requires a BS or MS in Computer Science or Electrical Engineering with 8-10 years of development experience.
• Strong C/C++ skills and deep understanding of operating system interfaces and multithreaded programming.

Responsibilities

• Architect and implement new features for the CUDA Driver to enhance GPU acceleration for diverse workloads.
• Collaborate across teams to extend CUDA programming models, specifically focusing on CUDA Graphs and Multi-Process Service (MPS).

Skills

C

C++

CUDA

Device Drivers

Multithreading

Operating Systems

Parallel Computing

System Architecture

Linux Systems Software

Kernel Mode Development

Virtual Memory

Process Control

Education

Bachelor's degree in Computer Science or Electrical Engineering

Master's degree in Computer Science or Electrical Engineering

Job description

NVIDIA AI in Santa Clara seeks an Architect/Developer to design and implement CUDA Driver features that accelerate diverse workloads, focusing on CUDA Graphs and MPS. You will collaborate with cross-functional teams to extend CUDA programming models and ship driver-level capabilities.

The ideal candidate has strong C/C++, deep OS and multithreading expertise, and the ability to work across kernel and user-space boundaries to influence next-generation GPU acceleration.