Public Sector GPU-Accelerated Computing Engineer

NVIDIA; United States; On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking world-class computer scientists and engineers for its Public Sector Devtech team. You will research and develop techniques to GPU-accelerate applications in the federal ecosystem, performing in-depth analysis and optimization for current and next-generation GPU architectures.

You will collaborate with diverse teams across NVIDIA to influence architecture, software, and programming models, ensuring top performance and developer productivity. Some travel may be required.

Qualifications

• BS/MS/PhD in engineering or computer science or equivalent experience.
• Proficiency in C/C++ and/or Fortran with strong software design skills.
• Strong mathematical foundations including linear algebra and numerical methods.
• Experience with parallel programming, CUDA C/C++ and OpenACC.

Responsibilities

• Collaborate with application developers to optimize core parallel algorithms and data structures for GPUs.
• Work 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

CUDA

OpenACC

Parallel programming

Mathematics

Education

BS/MS/PhD in engineering or CS

Tools

CUDA

OpenACC

Job description

NVIDIA is seeking world-class computer scientists and engineers for its Public Sector Devtech team. You will research and develop techniques to GPU-accelerate applications in the federal ecosystem, performing in-depth analysis and optimization for current and next-generation GPU architectures.

You will collaborate with diverse teams across NVIDIA to influence architecture, software, and programming models, ensuring top performance and developer productivity. Some travel may be required.