Public Sector DevTech Engineer - GPU/AI

NVIDIA; Santa Clara (CA); On-site; USD 124,000 - 196,000; Full time

Benefits offered by this job

Equity compensation

Benefits

Job summary

NVIDIA’s Public Sector Devtech team seeks passionate, world-class computer scientists and engineers to research and develop GPU-accelerated techniques for applications in the federal ecosystem. You will collaborate with application developers and cross-functional teams to optimize core parallel algorithms and data structures for GPUs.

Pursuing or completed BS/MS/PhD in engineering or CS, you should be fluent in C/C++ and/or Fortran, have strong math skills and experience with parallel

Qualifications

• Pursuing or recently completed BS, MS, or PhD in engineering or CS.
• Fluency in C/C++ and/or Fortran with strong software design skills.
• Strong math foundations including linear algebra and numerical methods.
• Experience with parallel programming (CUDA C/C++, OpenACC).

Responsibilities

• Collaborate with application developers to optimize core parallel algorithms and data structures for GPU acceleration.
• Work with NVIDIA architecture, research, libraries, tools, and system software teams to study performance and productivity.
• Travel occasionally for conferences and on-site visits.

Skills

C/C++ programming

Fortran

Parallel programming

CUDA C/C++

OpenACC

Education

BS/MS/PhD in engineering or computer science

Tools

CUDA

OpenACC

Job description

NVIDIA’s Public Sector Devtech team seeks passionate, world-class computer scientists and engineers to research and develop GPU-accelerated techniques for applications in the federal ecosystem. You will collaborate with application developers and cross-functional teams to optimize core parallel algorithms and data structures for GPUs.

Pursuing or completed BS/MS/PhD in engineering or CS, you should be fluent in C/C++ and/or Fortran, have strong math skills and experience with parallel