Research Scientist, Autonomous Systems and Physical AI Research

Nvidia

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Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $168,000–$264,500 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $210k

This role $216k

$153k $279k

below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $165,000–$254,750 — the blue band above. At the midpoint, this role pays about $216k versus about $210k for comparable roles.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1472 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1109 roles with salary data.

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At a glance

TL;DR · Research Scientist, Autonomous Systems and Physical AI Research

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JOB TITLE: Research Scientist, Autonomous Systems and Physical AI Research - PhD New College Grad 2026 The Research Scientist, Autonomous Systems and Physical AI Research - PhD New College Grad 2026 joins the ASPIRE group to conduct foundational research on autonomous vehicles, robotics, and physical AI. You will design and implement cutting-edge techniques, conduct original research, and publish results while collaborating with internal product teams and external researchers. Your work involves developing foundation model designs, embodied reasoning, safety, closed-loop training, and agentic workflows. You will address challenges such as decision-making under uncertainty, reinforcement learning, and verification of safety-critical systems. Required skills include a PhD in Robotics, Computer Science, or Computer Engineering, research excellence in autonomous systems, and exceptional Python programming. Experience with PyTorch, C++, and CUDA is preferred for developing systems that reason and interact safely in complex environments.

What does a Research Scientist earn?

Median $216250 from 41 postings across 16 companies.

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Skills

Python C++ PyTorch CUDA Reinforcement Learning Deep Learning Robotics Autonomous Vehicles Physical AI Parallel Programming Simulation Closed-loop Training Verification and Validation Embodied AI

What you'll do

Design and implement cutting-edge techniques for autonomous vehicles, robotics, and physical AI.
Conduct original research and publish results in leading conferences and journals.
Develop new training paradigms using perception and interaction for closed-loop robot policies.
Create online and offline assurances for safety-critical autonomous applications.
Build systems that reason under uncertainty and interact safely with people and other agents.
Transfer developed technologies to relevant internal product groups.
Develop foundation models for embodied reasoning and agentic workflows.
Open-source research code and artifacts to the broader research community.

What we're looking for

Complete or recently completed a PhD in Robotics, Computer Science, Computer Engineering, or a related field by 2026.
Possess relevant research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.
Demonstrate strong knowledge of the theory and practice of vehicle or robot autonomy.
Maintain a track record of research excellence through publications at leading conferences and journals and open-source software.
Possess exceptional Python programming skills.
Experience with machine learning frameworks such as PyTorch.
Experience with C++ and parallel programming, such as CUDA (preferred).
Possess strong communication and interpersonal skills to thrive in a dynamic, research-focused team.

3+ yrs exp

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