Zendar
US - California - Berkeley
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Design and implement motion-planning, decision-making, vehicle-control, and estimation algorithms, including real-time C++ software for embedded automotive systems. Build simulation and analysis tools, evaluate driving quality and safety using metrics and field data, integrate with perception and platform teams, and validate features on vehicles.
Requirements: Requires at least 3 years of software engineering experience, production-quality modern C++ and Python skills, and hands-on experience in motion planning, decision-making, or vehicle controls for autonomous vehicles, ADAS, or robotics. Candidates should have a foundation in mathematics and vehicle dynamics, experience deploying features in the real world, and be able to work from the Berkeley office at least Tuesday through Thursday.
Key Skills: Modern C++, Python, Motion Planning, Decision-Making Algorithms, Vehicle Controls, Robotics, Vehicle Dynamics, Real-Time Systems, Embedded Systems, Trajectory Planning, Model Predictive Control, Optimization-Based Planning, Linear Algebra, Statistics and Probability, Simulation, On-Vehicle Validation
Benefits: Performance-Based Bonus, Medical Insurance, Dental Insurance, Vision Insurance, Flexible Paid Time Off, Equity, Daily Catered Lunch, Stocked Office Fridge
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