Senior Perception Engineer developing AI solutions for autonomous driving at NVIDIA. Focused on creating innovative deep learning models and data-driven perception 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
2+ years of technical leadership demonstrating high technical and organizational complexity
10+ years of 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
MS/PhD in CS, EE, sciences or related fields (or equivalent experience)
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