Developer Technology Engineer, Public Sector - New College Grad 2026

at Nvidia

USD 124,000-241,500 per year

JUNIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms @ 3 CUDA @ 3 Data Structures @ 3 Deep Learning @ 3 GPU @ 3 Machine Learning @ 3 Parallel Programming @ 3 Python Security @ 3

Details

NVIDIA's work is dedicated to a computing model focused on visual and AI computing. NVIDIA pioneered visual computing through the invention of the GPU, which is effective at solving complex problems in computer science and powering deep learning algorithms.

NVIDIA is hiring computer scientists and engineers for its Public Sector Developer Technology (DevTech) team. The role involves researching and developing techniques to GPU-accelerate leading applications in fields targeting the federal ecosystem. You will perform in-depth analysis and optimization to achieve the best possible performance on current and next-generation GPU architectures.

Responsibilities

Work directly with key application developers to understand current and future problems, and craft and optimize parallel algorithms and data structures for GPU-based solutions.
Develop reference code and contribute directly to the full software stack, including libraries, applications, and high-productivity software environments such as Python.
Collaborate with NVIDIA's architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models.
Investigate the impact of hardware and software designs on application performance and developer productivity.
Occasionally travel to conferences and on-site developer visits.

Requirements

Pursuing or recently completed a BS, MS, or PhD degree, or equivalent experience, in an engineering or computer science-related discipline.
Programming fluency in C, C++, and/or Fortran.
Deep understanding of software design, programming techniques, and algorithms.
Strong mathematical fundamentals, including linear algebra and numerical methods.
Experience with parallel programming, ideally CUDA C/C++ and OpenACC.

Preferred Qualifications

Domain expertise in data and graph analytics, signal processing, telecommunications, geographic information systems, machine learning, or deep learning.
Experience working within the Federal Government.
Ability to hold a US security clearance.