Senior Machine Learning Engineer, Perception – Autonomous Driving
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Job Description
Senior Machine Learning Engineer developing NVIDIA deep-learning perception systems for autonomous driving. Building traffic-signal detection and recognition solutions across diverse driving environments.
Responsibilities:
- Design end-to-end solutions for perception and autonomous vehicle stacks to enable traffic signal detection across diverse driving environments, including complex intersections, rural roads, and highways
- Conduct applied research and development of innovative deep learning models for traffic light detection, traffic sign recognition, road marking detection, construction object detection, text recognition, and other traffic signal tasks
- Develop generalizable approaches to support diverse ODDs and country/region expansion
- Drive and prioritize data-driven development with large data collection and labeling teams
- Plan data collection and labeling priorities and optimize labeling efficiency to maximize data value
- Leverage data simulation and augmentation to solve extreme scenarios
- Productize perception solutions by meeting product requirements for safety, latency, and software robustness
Requirements:
- Minimum Requirement: 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
- 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
- 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 Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques
- Experience in working on complex object detection and recognition problems is a big plus
Benefits:
- Equity
- Benefits
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