Senior Machine Learning Engineer, Prediction - Autonomous Driving

NVIDIA is hiring a Senior Machine Learning Engineer to develop and productize autonomous driving prediction solutions. The role focuses on building accurate, robust, and efficient prediction systems using machine learning, data-driven development, simulation, and productization.

Responsibilities:

• Designing end-to-end solutions for Prediction and AV stack using state of the art ML techniques to enable agents prediction across various driving environments from complex intersections to rural curvy roads to multi-level highways
• Applied research and development of innovative deep learning models, including end-to-end models
• Develop generalizable approaches to support diverse ODDs and Country/region expansion
• Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve prediction system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized
• Leverage data simulation and augmentation for solving extreme scenarios
• Productize the developed solutions by meeting product requirements for safety, latency, and SW robustness

Requirements:

• PhD with 6+ years, MS with 10+ years, or BS (or equivalent experience) with 12+ years of meaningful experience in Computer Science, Computer Engineering, or a related technical field
• Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch)
• Experience in data-driven development and collaboration with data and ground truth teams
• Strong programming skills in python and/or C++
• Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other
• Proven expertise in developing generalizable ML solutions for autonomous driving or robotics
• Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications
• Proven expertise in deep learning backed up by technical publications in leading conferences/journals
• Expertise with Transformers, BEV architectures, E2E ML systems
• over 2 years of experience in technical leadership involving significant technical and organizational challenges