Public Sector GPU & AI DevTech Engineer

NVIDIA AI; Santa Clara (CA); On-site; USD 124,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks researchers and engineers for its Public Sector Devtech team to advance GPU-accelerated applications in federal ecosystems. You will optimize parallel algorithms, contribute to the software stack, and collaborate across architecture, research, libraries, tools, and system software groups.

Requirements include a BS/MS/PhD in engineering or CS, strong C/C++ (or Fortran), CUDA C/C++, and OpenACC, plus solid math fundamentals. Occasional travel may be required.

Qualifications

• Pursuing or recently completed a BS, MS, or PhD in engineering or computer science.
• Fluent programming in C/C++ and/or Fortran with solid software design skills.
• Strong background in linear algebra and numerical methods.

Responsibilities

• Collaborate with application developers to optimize core parallel algorithms and data structures for GPU execution.
• Work with architecture, research, libraries, tools, and system software teams to evaluate performance and productivity impacts.
• Occasional travel for conferences and on-site developer visits.

Skills

C/C++

Fortran

Parallel programming

Education

BS/MS/PhD in engineering or CS

Tools

CUDA C/C++

OpenACC

Job description

NVIDIA seeks researchers and engineers for its Public Sector Devtech team to advance GPU-accelerated applications in federal ecosystems. You will optimize parallel algorithms, contribute to the software stack, and collaborate across architecture, research, libraries, tools, and system software groups.

Requirements include a BS/MS/PhD in engineering or CS, strong C/C++ (or Fortran), CUDA C/C++, and OpenACC, plus solid math fundamentals. Occasional travel may be required.