Developer Technology Engineer

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 16 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $184k

$133k $238k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $152,875–$214,500.

Based on 240 similar postings.

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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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Developer Technology Engineer

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JOB TITLE: Developer Technology Engineer, Public Sector - New College Grad 2026 As a Developer Technology Engineer, Public Sector - New College Grad 2026, you will join the Public Sector Developer Technology team to research and develop techniques for GPU-accelerating leading applications within the federal ecosystem. You will perform in-depth analysis and optimization to ensure peak performance on current and next-generation GPU architectures. Your daily responsibilities include crafting core parallel algorithms and data structures, developing reference code, and contributing to the full software stack, including libraries and high productivity software environments. You will utilize C/C++, Fortran, Python, CUDA C/C++, and OpenACC. The role requires strong mathematical fundamentals in linear algebra and numerical methods to solve complex problems in data analytics, signal processing, telecommunications, geographic information systems, machine learning, and deep learning.

Skills

CUDA C++ C Fortran Python Parallel Programming OpenACC Machine Learning Deep Learning Linear Algebra Numerical Methods Graph Analytics Signal Processing

What you'll do

Research and develop techniques to GPU-accelerate applications for the federal ecosystem.
Perform in-depth analysis and optimization to ensure peak performance on current and next-generation GPU architectures.
Work with application developers to identify problems and craft optimized core parallel algorithms and data structures.
Develop reference code and contribute directly to the full software stack, including libraries and high productivity environments like Python.
Influence the design of architectures, software, and programming models based on performance impact and developer productivity.
Investigate the impacts of hardware and software changes on application performance.

What we're looking for

Pursuing or recently completed a BS, MS, or PhD in engineering, computer science, or a related field.
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 using CUDA C/C++ and OpenACC.
Domain expertise in data/graph analytics, signal processing, telecommunications, GIS, machine learning, or deep learning.
Experience working within the Federal Government.
Ability to hold a US security clearance.

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