Senior Developer Technology Engineer

About

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 fields targeting the federal ecosystem. You will perform in‑depth analysis and optimization to ensure the best possible performance on current and next‑generation GPU architectures.

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 proven 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 one of the technology world’s most desirable employers, with forward‑thinking and hardworking people. If you’re creative and autonomous, we want to hear from you.

Responsibilities

• Work directly with key application developers to understand 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 and direct contribution to the full software stack including libraries, applications, and high‑productivity software environments (e.g., Python).
• Collaborate 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.
• Travel occasionally for conferences and on‑site visits with developers.

Requirements

• MS or PhD degree or equivalent experience in an engineering or computer‑science‑related field.
• Programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.
• Strong computer‑science fundamentals, including parallel data structures and algorithms, combinatorics, and sparse representations.
• 5+ years of relevant work experience with parallel programming, ideally CUDA C/C++, OpenMP or MPI, or SHMEM (OpenSHMEM or NVSHMEM).

Preferred Qualifications

• Domain expertise in data and graph analytics, data‑science, network analysis, cybersecurity, machine learning, or deep learning.
• Experience developing with libraries in the RAPIDS ecosystem, including but not limited to cuDF, cuML, cuGraph, Spark, and cuPY.
• Experience with JIT compilation and using NUMBA.
• Background with algorithm and architecture co‑design.

Compensation and Benefits

• Base salary range: $184,000 – $287,500 USD for Level 4, and $224,000 – $356,500 USD for Level 5 (determined by location, experience, and internal pay equity).
• Eligibility for equity and additional benefits.

Application Details

• Applications will be accepted at least until January 13, 2026.
• This posting is for an existing vacancy.

Additional Information

• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate 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.