Job description

We are now seeking a Senior Developer Technology Engineer for the Public Sector! NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team! In this role, you will research and develop techniques to GPU-accelerate leading applications in the federal ecosystem, including fields such as CFD, Electronic Design Automation, Graph Theory, Weather/Climate Modeling, and AI in HPC. You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.  What you'll be doing: • Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through reference code development, direct contribution to the full software stack including libraries, applications. • Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models, by investigating the impact on application performance and developer productivity. • Occasional travel from time to time for conferences and on-site visits with developers. What we need to see: • Have an MS or PhD degree or equivalent experience in Computer Science, Engineering or STEM field. • Programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms. • 5+ years of relevant work experience with parallel programming, ideally CUDA C/C++, OpenMP or MPI, or SHMEM (OpenSHMEM or NVSHMEM). • Strong computer science fundamentals, ideally including parallel data structures and algorithms, combinatorics, and sparse representations. • Passion for optimizing codes to run exceptionally fast through parallel programming. Ways to stand out from the crowd: • Experience optimizing complex codes, especially for GPUs, including kernel optimization and strong understanding of how software runs on hardware. A b ackground with algorithm and architecture codesign is a plus. • Domain expertise in any of the following: electronic design automation, high-performance computing, computational fluid dynamics, data and graph analytics, data-science, network analysis, machine learning, or deep learning. • Experience in profiling and optimizing applications and frameworks including experience with Nsight Systems and Nsight Compute.  • Experience in developing or optimizing workflows involving HPC and AI models. Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!  NVIDIA is widely considered to be one of the world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us.  If you are creative and like making code run as fast as possible through a combination of critical thinking, profiling, and hardware and software knowledge, we want to hear from you # LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 9, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

We are now seeking a Senior Developer Technology Engineer for the Public Sector!
Occasional travel from time to time for conferences and on-site visits with developers.
Have an MS or PhD degree or equivalent experience in Computer Science, Engineering or STEM field.
Programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.
5+ years of relevant work experience with parallel programming, ideally CUDA C/C++, OpenMP or MPI, or SHMEM (OpenSHMEM or NVSHMEM).
Strong computer science fundamentals, ideally including parallel data structures and algorithms, combinatorics, and sparse representations.
Passion for optimizing codes to run exceptionally fast through parallel programming.
Experience in profiling and optimizing applications and frameworks including experience with Nsight Systems and Nsight Compute.
Experience in developing or optimizing workflows involving HPC and AI models.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 9, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

Experience optimizing complex codes, especially for GPUs, including kernel optimization and strong understanding of how software runs on hardware. A b ackground with algorithm and architecture codesign is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: eightfold
Effort: medium