Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving
Nvidia
At a glance
AI generatedJoin NVIDIA’s autonomous driving team as a senior engineer, where you will design and implement advanced AI systems that power mass-production vehicles. Your daily tasks include training large-scale models using generative, imitation, and reinforcement learning techniques to enhance planning and reasoning in autonomous driving. You’ll also build and fine-tune LLM/VLM/VLA systems for real-world deployment, ensuring they meet stringent safety standards. Collaborate with cross-functional teams to integrate these AI models into vehicle firmware, delivering production-quality software. Ideal candidates have hands-on experience with deep learning frameworks like TensorFlow or PyTorch, strong Python programming skills, and proficiency in C++ for model deployment. A PhD with 4+ years of relevant experience or an MS with 6+ years is preferred, along with a track record of deploying ML models at scale in self-driving cars or robotics applications.
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How this pay compares to similar roles
This role pays more than 69% of similar roles. Most pay $196,537–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $221k for comparable roles.
Based on 240 similar postings.
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 824 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 812 roles with salary data.
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