Senior Research Engineer - Autonomous Vehicles
Nvidia
At a glance
AI generatedJoin NVIDIA’s Autonomous Vehicle Research group as a Senior Research Scientist, where you will contribute to groundbreaking projects aimed at achieving full vehicle autonomy. Your day-to-day responsibilities include designing and implementing advanced techniques in vehicle autonomy, publishing your findings in top-tier conferences, collaborating with internal teams and external researchers, and transferring technology into production systems. You will work on critical areas such as agent behavior models, end-to-end AV architectures, AI safety, and closed-loop training approaches. Ideal candidates hold a Ph.D. in Computer Science/Engineering or related fields, have over six years of research experience, and demonstrate expertise in Python, C++, CUDA, PyTorch, and TensorFlow. This role offers the opportunity to make significant contributions to both theoretical advancements and real-world applications in autonomous vehicles.
Skills
What you'll do
What we're looking for
Market check
This $192,000–$304,750 range sits above 77% of similar postings on FindRole.
Peer median band
$169,000–$258,750
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$171,687–$248,375
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 801 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.
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