Developer Technology Engineer, Public Sector - New College Grad 2026 at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, Public Sector, AIIndustries

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 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

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

Skills

Key technologies and capabilities for this role

GPUParallel AlgorithmsData StructuresPythonDeep LearningComputer GraphicsOptimizationSoftware DevelopmentCUDA

Questions & Answers

Common questions about this position

What is the base salary for this position?

This information is not specified in the job description.

Is this role remote or does it require office presence?

This information is not specified in the job description.

What skills are required for the Developer Technology Engineer role?

Candidates need programming fluency in C/C++ and/or Fortran with deep understanding of software design, programming techniques, and algorithms; strong mathematical fundamentals including linear algebra and numerical methods; and experience with parallel programming, ideally CUDA C/C++ and OpenACC. A BS, MS, or PhD in engineering or computer science is required.

What is the company culture like at NVIDIA?

NVIDIA has some of the most forward-thinking and hardworking people in the world, and they seek creative and autonomous individuals to join their teams.

How can I stand out as a candidate for this role?

Stand out with domain expertise in data and graph analytics, signal processing, telecommunications, geographic information systems, machine learning, or deep learning, and experience working within the Federal Government with the ability to hold a US security clearance.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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