Staff Software Engineer, Trajectory Generation & Controls

About Stack:

About the Role:

Responsibilities:

• Own the delivery of TG&C features from design to integration, providing a well controlled, safe and comfortable vehicle experience.
• Provide input to team roadmaps and ensure timely delivery of features.
• Work closely with systems engineers to ensure a safe, well tested product is delivered.
• Write state of the art software, using modern C++ and Python. Make extensive use of unit testing, simulation, and log simulation.
• Work closely with other Autonomy teams (Constraint Generation, Trajectory Selection, World Fusion, Prediction, Perception, Localization, Calibration,...) to design and deploy robust solutions, encompassing all aspects of autonomous driving.
• Be involved in design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.

Qualifications:

• BS in Computer Science, Electrical Engineering, Mechanical Engineering or closely related field. MS or PhD is a plus.
• 5+ years of software engineering experience.
• Experience building motion planning and/or control systems for real world applications. Experience with large ground vehicles is a plus.
• Knowledge and experience with optimal control or dynamic optimization, especially in the context of model predictive control or real-time trajectory generation. Experience with optimization algorithms (e.g., sequential quadratic programming, interior point methods) is a plus.
• Knowledge and experience with vehicle dynamics, system identification and real-time control algorithms. Experience with tooling and metrics is a plus.
• Fluent in modern C++.
• Experience with Python.
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Preferred Qualifications

• BS in Computer Science, Electrical Engineering, Mechanical Engineering or closely related field. MS or PhD is a plus.
• Experience building motion planning and/or control systems for real world applications. Experience with large ground vehicles is a plus.
• Knowledge and experience with optimal control or dynamic optimization, especially in the context of model predictive control or real-time trajectory generation. Experience with optimization algorithms (e.g., sequential quadratic programming, interior point methods) is a plus.
• Knowledge and experience with vehicle dynamics, system identification and real-time control algorithms. Experience with tooling and metrics is a plus.