Senior Machine Learning Engineer, Perception - Autonomous Driving

NVIDIA is a leader in AI technology, and they are seeking a Senior Perception Engineer to develop and productize autonomous driving solutions. The role involves designing end-to-end solutions for perception modules and improving the accuracy and efficiency of autonomous driving systems.

Responsibilities:

• Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways
• Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks
• 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 perception 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 perception solutions by meeting product requirements for safety, latency, and SW robustness

Requirements:

• PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field
• 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus
• 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 perception solutions for autonomous driving or robotics using deep learning with cameras
• 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, and modern static-world perception techniques
• Experience in working on similar online mapping and complex road detection problems is a big plus