System Software Engineer - CUDA Chips

NVIDIA AI

Santa Clara (CA)

On-site

USD 150,000 - 230,000

Full time

3 days ago

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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

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

You will develop, debug, and deploy CUDA drivers for new GPU architectures and system-on-chip devices. This involves working across pre-silicon simulation environments and final production software to enable high-performance computational features.

Requirements

Candidates must have a BS or MS in a technical field and at least 2 years of systems software development experience. Strong proficiency in C programming, computer architecture, and kernel-level debugging is required.

Key Skills