Full-Time

Senior Research Scientist

Autonomous Vehicles

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$184k - $356.5kAnnually

+ Equity

Senior

Santa Clara, CA, USA

Hybrid position requiring in-office presence.

Category
Robotics & Autonomous Systems
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
CUDA
Pytorch
Machine Learning
C/C++

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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 your 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 are required 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.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in AI and computing technologies, ensuring they provide advanced solutions for a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match