System Software Engineer: CUDA Driver & Kernel (Equity)

NVIDIA AI; Santa Clara (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI in Santa Clara, CA is seeking a software engineer to develop, debug, and deploy CUDA drivers for new GPU architectures and SoCs. You will work across pre-silicon simulations and final production software to enable high-performance compute features.

The ideal candidate has a BS or MS in a technical field and at least two years of systems software development experience, with strong C skills, computer architecture knowledge, and kernel-level debugging.

Qualifications

• BS or MS in a technical field with 2+ years of systems software experience.
• Strong C programming, computer architecture, and kernel debugging.

Responsibilities

• Develop, debug, and deploy CUDA drivers for new GPU architectures and SoC devices.
• Collaborate across pre-silicon simulations and production software to enable high-performance features.

Skills

C

CUDA

Parallel programming

Operating systems

Kernel programming

Hardware architecture

Multithreaded programming

System software development

Debugging

Simulation

Emulation

SOC

Memory hierarchy

Interconnects

Driver development

Virtual memory

Education

BS or MS in a technical field

Job description

NVIDIA AI in Santa Clara, CA is seeking a software engineer to develop, debug, and deploy CUDA drivers for new GPU architectures and SoCs. You will work across pre-silicon simulations and final production software to enable high-performance compute features.

The ideal candidate has a BS or MS in a technical field and at least two years of systems software development experience, with strong C skills, computer architecture knowledge, and kernel-level debugging.