[Remote] Deep Learning Senior Engineer, End-To-End Autonomous Driving

Note: The job is a remote job and is open to candidates in USA. NVIDIA is seeking exceptional engineers to join their autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems. The role involves training innovative large-scale models and collaborating with cross-functional teams to ensure the deployment of AI models in production environments.ResponsibilitiesDesign and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systemsBuild, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applicationsExplore novel data generation and collection strategies to improve diversity and quality of training datasetsCollaborate with cross-functional teams to deploy AI models in production environments, ensuring performance, safety, and reliability standards are metIntegrate machine learning models directly with vehicle firmware to deliver production-quality, safety-critical softwareSkillsHands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systemsDeep understanding of modern deep learning architectures and optimization techniquesProven record of deploying production-grade ML models for self-driving, robotics, or related fields at scaleStrong programming skills in Python and proficiency with major deep learning frameworksFamiliarity with C++ for model deployment and integration in safety-critical systemsPhD with 4+ years, MS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical fieldExperience with LLM/VLM/VLA systems deployable to autonomous vehicles or general roboticsPublications, open-source contributions, or competition wins related to LLM/VLM/VLA systemsDeep understanding of behavior and motion planning in real-world AV applicationsExperience building and training large-scale datasets and modelsProven ability to optimize algorithms for real-time performance in resource-constrained environments and strong track record of taking projects from concept to production deploymentBenefitsYou will also be eligible for equity and benefits.Company OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.