Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network.

We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’s a once-in-a-lifetime adventure.

Progress has never felt so present.

We’re looking for a Controls Engineer to design and optimize trajectory generation and control systems for an autonomous truck. You’ll own safety-critical systems and ensure reliable execution of complex maneuvers, working closely with the ML team to integrate real-time path outputs while enforcing system constraints and safety checks. This role spans embedded systems and diverse compute platforms, and offers a rare opportunity to connect cutting-edge ML with production autonomy on a small, high-ownership team.

Design, implement, tune, and deploy real-time controllers for autonomous trucks, taking ownership from modeling through on-vehicle validation

Develop and maintain vehicle dynamics models and perform system identification to support controller design and simulation fidelity

Build and improve estimation and sensor fusion pipelines for vehicle state (Kalman filters, EKF/UKF, etc.)

Validate controllers through SIL/HIL testing, closed-loop simulation, and structured on-vehicle experiments

Debug, analyze, and iterate on controllers in the field using vehicle logs and telemetry

Collaborate with teams across ML autonomy, system software, hardware, and safety on interfaces, requirements, and integration

Contribute to the controls codebase in Rust with a focus on safety, reliability, real-time performance, and maintainability

Document design decisions, experiments, and tuning methodology clearly for the broader team

BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience

Strong foundation in classical control theory: PID, LQR, state-space methods

Industry experience developing real-time control systems deployed on physical hardware

Strong proficiency in Rust and/or C++ for performance-critical systems

Experience with estimation techniques (Kalman filters, complementary filters, or similar)

Demonstrated ability to debug and tune controllers on real hardware

Experience with ROS/ROS2/Autoware/Iceoryx or comparable robotics middleware

Strong written and verbal technical communication

Eligible to work in the United States

This role is eligible for base salary \+ benefits \+ equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.

As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact **legal@humblerobotics.ai** to exercise this right or if you have further questions on the use of AI tools in our hiring process.

Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.