Staff Software Engineer (Trajectory Generation & Controls)

Location: Pittsburgh, PA or Remote; the position may require verification of residence, U.S. person status, and/or citizenship status and may involve U.S. export-control restrictions.

Company

Develops AI-powered autonomous systems and robotics for safer, more reliable, and more efficient trucking operations.

What you will do

• Own TG&C feature delivery from solution design through integration and deployment.
• Develop trajectory generation, optimization, and control components for safe and comfortable autonomous-truck operation.
• Provide input to team roadmaps and ensure timely feature delivery.
• Collaborate with systems engineers and Autonomy teams, including Constraint Generation, Trajectory Selection, World Fusion, Prediction, Perception, Localization, and Calibration.
• Build modern C++ and Python software using unit testing, simulation, and log simulation.
• Participate in design and iteration exercises and align stakeholders through strong presentation and communication.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related field.
• 5+ years of software engineering experience.
• Experience building motion-planning and/or control systems for real-world applications.
• Knowledge and experience with optimal control or dynamic optimization, especially model predictive control or real-time trajectory generation.
• Knowledge and experience with vehicle dynamics, system identification, and real-time control algorithms.
• Fluency in modern C++.
• Experience with Python.
• Experience deploying real-time, safety-critical software to production.

Nice to have

• MS or PhD in a relevant field.
• Experience with large ground vehicles.
• Experience with optimization algorithms such as sequential quadratic programming or interior point methods.
• Experience with tooling and metrics.

Culture & Benefits

• Work is grounded in safety, principled engineering, and a customer-oriented mindset.
• Collaboration spans Autonomy, Systems Engineering, and Operations.
• Commitment to inclusion, entrepreneurship, and innovation.
• Equal opportunity workplace.