October 18
🇺🇸 United States – Remote
💵 $150k - $200k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🗽 H1B Visa Sponsor
At Serve Robotics, we’re reimagining how things move in cities. You’ll be developing state-of-the-art algorithms to enable our robot to safely and reliably plan complex maneuvers. You’ll be improving robot’s navigation capability with real-time decision-making around various dynamic agents like pedestrians, cars, and environmental obstacles. Develop and implement advanced behavior planning algorithms for autonomous robots. Collaborate closely with perception and navigation team, should play a major role in developing robust dynamic agent prediction integrating with planner module and expanding capability for agent behavior planning. Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms. Lead the developments to enhance the robot ability to reduce failure, correct inefficiencies, and integrate primitive robot skills to high level plans. Maintain comprehensive documentation of code, algorithms, and system designs.
Master’s degree with 5 years of experience or PhD degree with minimum 2 years of industry experience in Robotics, AI, Mathematics, or a related field. Deep understanding of behavior planning algorithms such as state machines, behavior trees, policy learning, and probabilistic planning. Experience with debugging and address long tail hard case autonomy scenarios encountered by robotics systems using suitable behavior planning. Knowledge of machine learning techniques, especially in the context of behavior prediction and planning. Strong programming skills for efficient and robust code. Design, write, and maintain efficient and scalable code in C++ and Python. Strong written and verbal communication skills.
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