Research Scientist, Programming Systems - 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, AI, Accelerated ComputingIndustries

Requirements

Completing or recently completed a Doctoral degree (Ph.D.) or equivalent experience in a computational field such as computer science, computer engineering, or scientific computing
Creativity in developing innovative solutions to the problems faced by parallel programmers and the skill to implement them in software
Expertise in parallel programming and algorithmic techniques
Strong programming ability in one or more of the following languages: C, C++, Rust, and Python
Track record of research excellence and publications that demonstrate your body of work
Relevant research and software development experience

Responsibilities

Develop innovative parallel computing technologies that equip programmers with the compilers, languages, runtime systems, tools, and algorithms needed to solve challenges with modern accelerated systems
Collaborate with other researchers and engineers to extend the state of the art in parallel computing, machine learning, data analytics, and other technology areas surrounding NVIDIA's business
Deliver innovations in high-quality software systems, publications, and patents
Engage with the research community through collaborations, publications, and presentations that produce new technologies and promote education in accelerated computing

Skills

Key technologies and capabilities for this role

Parallel ComputingCompilersProgramming LanguagesRuntime SystemsCode AnalysisCode GenerationAlgorithmsMachine LearningData AnalyticsGPU ProgrammingSoftware DevelopmentResearch

Questions & Answers

Common questions about this position

What degree is required for this Research Scientist position?

A Doctoral degree (Ph.D.) or equivalent experience in a computational field such as computer science, computer engineering, or scientific computing is required.

What programming languages are needed for this role?

Strong programming ability in one or more of the following languages: C, C++, Rust, and Python is required.

What is the salary range for this position?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Candidates stand out with expertise in applying programming system insights to machine learning, data science, and distributed computing, ability to implement ideas in the CUDA programming model, and experience with applying AI like large language models to solve programming problems.

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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