Staff Software Engineer, Trajectory Generation & Controls

Location: Pittsburgh, PA or Remote

Department: Autonomy

About the Role:

The Trajectory Generation and Controls (TG&C) team owns the trajectory generation, optimization and controls components that power how autonomous trucks drive. You are a great fit if you have real world experience with Motion Planning, Optimization and/or Controls, as well as a proven record deploying real-time, safety critical software to production. In this role you will work in all phases of the software development cycle, from solution design to implementation and deployment. You will collaborate with various teams in Autonomy, Systems Engineering and Operations, fostering a culture of safety, principled engineering and a customer oriented mindset.

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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