Senior Machine Learning Engineer, Perception, Autonomous Driving

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NVIDIA is hiring a Senior Machine Learning Engineer for its autonomous driving perception team. You will design end-to-end perception solutions for online mapping, including road layouts, lane structures, and traffic elements, reducing reliance on HD maps. The role combines applied deep learning research with productization for safety, latency, and software robustness.

• Design end-to-end perception solutions for the AV stack to detect road networks across diverse driving environments
• Research and develop deep learning models for lane graph construction, road boundary detection, and traffic element recognition
• Prioritize data collection and labeling to maximize perception system accuracy
• Leverage data simulation and augmentation to handle extreme scenarios
• Productize perception solutions meeting safety, latency, and software robustness requirements

• PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience in Computer Science, Computer Engineering, or related field
• Hands-on experience developing deep learning algorithms for real-world problems
• Proficiency with deep learning frameworks such as PyTorch
• Experience in data-driven development and collaboration with data/ground truth teams
• Strong programming skills in Python and/or C++
• Outstanding communication and teamwork skills

• 2+ years of technical leadership on complex projects
• Expertise in generalizable perception for autonomous driving or robotics using cameras
• Experience deploying DNN-based solutions to embedded platforms for real-time applications
• Publications in leading conferences/journals
• Expertise with Transformers, BEV architectures, and static-world perception techniques
• Experience with online mapping and complex road detection problems