Developer Technology Engineer, Public Sector - New College Grad 2025

at Nvidia

📍 Santa Clara, United States

$120,000-230,000 per year

MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 3 Algorithms @ 3 Data Structures @ 3 Machine Learning @ 3 Hiring @ 3 Parallel Programming @ 3 CUDA @ 3

Details

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 applications in the federal ecosystem. You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.

Responsibilities

  • 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, and high productivity software environments (e.g. Python).
  • 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.

Requirements

  • Completing a BS, MS, or PhD degree or have equivalent experience in an engineering or computer science related discipline.
  • Programming fluency in C/C++ and/or Fortran with a 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.

Ways to stand out from the crowd

  • Domain expertise in data and graph analytics, signal processing, telecommunications, geographic information systems, machine learning, or deep learning.

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer with a real passion for computer architecture? If so, we want to hear from you!