Research Scientist, Autonomous Vehicles - 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

Autonomous Vehicles, Technology, AI ResearchIndustries

Requirements

Completing or recently completed a PhD in Robotics, Computer Science, Computer Engineering or related field (or equivalent experience)
Relevant research experience in the field of vehicle / robot autonomy
Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles
A track record of research excellence with work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc., and other research artifacts such as software projects
Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA) are a plus
Knowledge of common machine learning frameworks such as PyTorch and Tensorflow
Strong communication and interpersonal skills with the ability to work in a dynamic, research-focused team
Dedicated, upbeat, dynamic with excellent analytical ability; passionate and highly motivated about solving complex problems

Responsibilities

Designing and implementing cutting-edge techniques in the field of vehicle autonomy
Publishing original research
Collaborating with other research team members, a diverse set of internal product teams, and external researchers
Transferring technology developed to relevant product groups

Skills

Key technologies and capabilities for this role

Autonomous VehiclesAIMachine LearningComputer VisionSimulationClosed-Loop TrainingAI SafetyEnd-to-End ArchitecturesVision-Language ModelsRoboticsPerception Systems

Questions & Answers

Common questions about this position

What qualifications are required for this Research Scientist position?

Candidates must be completing or have recently completed a PhD in Robotics, Computer Science, Computer Engineering or related field, with relevant research experience in vehicle or robot autonomy and a track record of research excellence published in top conferences like RSS, ICRA, NeurIPS, and ICML.

What technical skills are needed for this role?

Exceptional programming skills in Python are required, with C++ and parallel programming like CUDA as a plus, along with knowledge of machine learning frameworks such as PyTorch and Tensorflow.

What is the company culture like for this research team?

NVIDIA features a strong team culture with a diverse, interdisciplinary research team focused on basic and applied research, encouraging publication, open-sourcing, and collaboration with internal experts in perception, machine learning, and robotics.

Is this position remote or office-based?

This information is not specified in the job description.

What makes a strong candidate for this role?

A strong candidate has a PhD in a relevant field, proven research in autonomy with top publications, exceptional Python skills, ML framework knowledge, and strong communication skills to thrive in a dynamic team.

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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