Public Sector GPU DevTech Engineer - AI/HPC & Equity

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring passionate computer scientists and engineers for its Public Sector Devtech team in Santa Clara. You will research and develop GPU-accelerated techniques for federal applications, analyzing performance on current and future GPU architectures.

Ideal candidates hold a BS/MS/PhD in engineering or CS with strong C/C++, Fortran, CUDA C/C++, and OpenACC skills, plus solid math. Expect collaboration across architecture, libraries, and system software teams, with occasional travel.

Qualifications

• BS/MS/PhD in engineering, CS or related discipline (or equivalent).
• Fluency in C/C++ and/or Fortran with strong software design knowledge.
• Strong mathematics fundamentals (linear algebra, numerical methods).
• Experience with parallel programming, CUDA C/C++ and OpenACC.

Responsibilities

• Work with application developers to optimize core parallel algorithms and data structures for GPUs.
• Collaborate with architecture, libraries, tools, and system software teams to influence design and performance.
• Occasional travel for conferences and on-site visits with developers.

Skills

C/C++

Fortran

Parallel programming

CUDA C/C++

OpenACC

Education

BS/MS/PhD in engineering or CS

Tools

CUDA

OpenACC

Python

Job description

NVIDIA is hiring passionate computer scientists and engineers for its Public Sector Devtech team in Santa Clara. You will research and develop GPU-accelerated techniques for federal applications, analyzing performance on current and future GPU architectures.

Ideal candidates hold a BS/MS/PhD in engineering or CS with strong C/C++, Fortran, CUDA C/C++, and OpenACC skills, plus solid math. Expect collaboration across architecture, libraries, and system software teams, with occasional travel.