Senior Research Scientist - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AutomotiveIndustries

Requirements

Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience)
6+ years of 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
Excellent collaboration and interpersonal skills
Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA)
Solid understanding of common machine learning frameworks such as PyTorch and Tensorflow
Strong communication and interpersonal skills along with the ability to work in a dynamic, research-focused team

Responsibilities

Designing and implementing cutting-edge techniques in the field of vehicle autonomy
Publish and present your original research, speak at conferences and events
Collaborate with other research team members, a diverse set of internal product teams, and external researchers
Have a broader impact through the transfer and/or open-source of the technology you've developed to relevant product groups
Collaborate closely with product teams to transfer research results into high-end, production-level systems

Skills

Machine Learning

Robotics

Perception Systems

Simulation

AI Safety

Closed-Loop Training

End-to-End Architectures

Foundation Models

Vision Language Models

Reasoning Models

Agent Behavior Models

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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