Developer Technology Engineer, Public Sector - New College Grad 2026

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$124,000–$195,500 / yr
Posted
148 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $160k
$113k most similar roles pay here $229k

This role pays less than 56% of similar roles. Most pay $135,000–$209,812 — the shaded band above. At the midpoint, this role pays about $160k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Developer Technology Engineer, Public Sector - New College Grad 2026

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NVIDIA’s Public Sector Developer Technology team is seeking a senior computer scientist or engineer to research and develop GPU-acceleration techniques for applications in the federal ecosystem, focusing on optimizing performance on current and next-generation GPUs. This role involves working closely with application developers to analyze and optimize core parallel algorithms and data structures, contributing to reference code development and enhancing libraries, applications, and high-productivity software environments like Python. The ideal candidate will collaborate across various NVIDIA teams to influence the design of architectures, software, and programming models, ensuring optimal performance and developer productivity. Essential skills include fluency in C/C++ or Fortran, experience with parallel programming using CUDA C/C++ and OpenACC, and domain expertise in areas such as data analytics, signal processing, telecommunications, GIS, machine learning, or deep learning.

Skills

CUDA C++ Fortran Python OpenACC GPU Parallel Programming Data Analytics Graph Analytics Signal Processing Telecommunications Geographic Information Systems Machine Learning Deep Learning

What you'll do

  • Analyze and optimize leading applications for GPU acceleration in federal ecosystem.
  • Develop core parallel algorithms and data structures using GPUs for high performance.
  • Contribute to software stack including libraries, applications, and productivity environments.
  • Influence design of architectures, software, and programming models based on application needs.
  • Investigate impact of new technologies on application performance and developer productivity.

What we're looking for

  • Bachelor’s degree or higher in engineering or computer science with relevant experience.
  • Proficiency in C/C++ and Fortran programming languages.
  • Expertise in parallel programming using CUDA C/C++ and OpenACC.
  • Deep knowledge of software design, algorithms, and data structures.
  • Domain expertise in areas like machine learning, deep learning, or signal processing.
  • Experience working within the Federal Government ecosystem.
  • Ability to obtain a US security clearance.

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