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

🔥 3 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Design and train innovative large-scale models, including generative, imitation, and reinforcement learning, to improve planning and reasoning capabilities • Build, pre-train, and fine-tune LLM/VLM/VLA systems for real-world autonomous driving and robotics applications • Explore novel data generation and collection strategies to improve training dataset diversity and quality • Collaborate with cross-functional teams to deploy AI models in production while meeting performance, safety, and reliability standards • Integrate machine learning models directly with vehicle firmware for production-quality, safety-critical software

🎯 Requirements

• Hands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systems • Deep understanding of modern deep learning architectures and optimization techniques • Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale • Strong programming skills in Python and proficiency with major deep learning frameworks • Familiarity with C++ for model deployment and integration in safety-critical systems • PhD with 4+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field, or MS (or equivalent experience) with 6+ years of relevant experience • Experience with LLM/VLM/VLA systems deployable to autonomous vehicles or general robotics • Publications, open-source contributions, or competition wins related to LLM/VLM/VLA systems • Deep understanding of behavior and motion planning in real-world AV applications • Experience building and training large-scale datasets and models • Proven ability to optimize algorithms for real-time performance in resource-constrained environments • Strong track record of taking projects from concept to production deployment

🏖️ Benefits

• Equity • Benefits