Senior Research Scientist, Autonomous Vehicles

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $192,000–$304,750 / yr
Posted: 37 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k

This role $248k

$163k most similar roles pay here $320k

This role pays more than 64% of similar roles. Most pay $178,618–$265,137 — the shaded band above. At the midpoint, this role pays about $248k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Research Scientist, Autonomous Vehicles

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As a Senior Research Scientist - Autonomous Vehicles within the Autonomous Vehicle Research group, you will join an interdisciplinary team focused on fundamental research and applied solutions for vehicle autonomy. You will design and implement cutting-edge techniques in areas such as agent behavior models, end-to-end architectures, AI safety, closed-loop training, and foundation models like VLMs and reasoning models. Your daily work involves publishing original research at top conferences, collaborating with internal product teams to transition results into production systems, and open-sourcing code. The role requires expertise in Python, C++, CUDA parallel programming, and frameworks like PyTorch or TensorFlow. You will address critical challenges including simulation-based training paradigms, safety-critical system assurances, and ensuring seamless performance in new environments for self-driving cars, delivery vehicles, and construction machinery to achieve full vehicle autonomy.

What does a Research Scientist earn?

Median $216250 from 42 postings across 13 companies.

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Skills

Python C++ CUDA PyTorch TensorFlow Machine Learning Robotics Autonomous Vehicles Parallel Programming VLMs Closed-loop Training AI Safety Simulation open-source

What you'll do

Design and implement cutting-edge techniques in the field of vehicle autonomy.
Conduct basic and applied research on agent behavior models, end-to-end architectures, and AI safety.
Develop novel training paradigms that leverage simulation to train autonomous vehicle policies in closed-loop systems.
Create online and offline assurances for safety-critical autonomous vehicle systems.
Publish original research and present findings at major conferences and industry events.
Open-source code and transfer developed technologies to relevant product groups.
Translate research results into high-end, production-level systems in collaboration with product teams.

What we're looking for

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 or robot autonomy.
Strong knowledge of theory and practice regarding vehicle/robot autonomy or a related area.
A track record of research excellence with publications in top conferences and journals like NeurIPS, ICML, CVPR, and others.
Proven ability to produce research artifacts such as software projects.
Exceptional programming skills in Python, C++, and parallel programming (e.g., CUDA).
Solid understanding of common machine learning frameworks including PyTorch and TensorFlow.
Strong communication and interpersonal skills for collaborating in a dynamic, research-focused team.

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