Deep Learning Senior Engineer, End-To-End Autonomous Driving

Nvidia

Remote Actively hiring
Canada · Santa Clara, CA Posted 73 days ago $184,000$287,500 / year

At a glance

AI generated

TL;DR

Join 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.

Skills

Python TensorFlow PyTorch LLMs VLMs VLAs C++ Kubernetes Docker CI/CD Prometheus Grafana AWS Azure Google Cloud PostgreSQL MongoDB Git Jenkins GitHub Bitbucket

What you'll do

  • Design and train innovative large-scale models to enhance planning and reasoning capabilities of driving systems.
  • Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in autonomous vehicles and robotics applications.
  • Develop novel data generation strategies to improve the diversity and quality of training datasets.
  • Ensure performance, safety, and reliability standards are met when deploying AI models in production environments.
  • Integrate machine learning models directly with vehicle firmware to deliver production-quality software.

What we're looking for

  • Hands-on experience with LLMs, VLMs, or VLAs or a top-tier coding background in autonomous systems.
  • Deep understanding of modern deep learning architectures and optimization techniques.
  • Proven track record deploying production-grade ML models for self-driving or robotics applications at scale.
  • Strong programming skills in Python and proficiency with major deep learning frameworks.
  • Familiarity with C++ for model deployment in safety-critical vehicle environments.

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $221k
This role $236k
$172k most similar roles pay here $300k

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

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 824 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 812 roles with salary data.

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