Controls Engineer
Job Description
Controls Engineer
About Humble Robotics
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.
Position Overview
Key Responsibilities
- 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
Minimum Qualifications
- 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
Preferred Qualifications
- Background in nonlinear, robust, or adaptive control
- Experience with Model Predictive Control (MPC) and optimization tooling (QP solvers, CasADi, Acado, etc.)
- Experience with Bazel or similar build systems for complex codebases
- Working knowledge of vehicle dynamics like tire models, lateral/longitudinal dynamics, and load transfer
- Comfort operating as an early team member—high ownership, low ego, fast iteration
Compensation
Additional Information
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 **[email protected]** 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.
- 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
- Background in nonlinear, robust, or adaptive control
- Experience with Model Predictive Control (MPC) and optimization tooling (QP solvers, CasADi, Acado, etc.)
- Experience with Bazel or similar build systems for complex codebases
- Working knowledge of vehicle dynamics like tire models, lateral/longitudinal dynamics, and load transfer
- Comfort operating as an early team member—high ownership, low ego, fast iteration
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 **[email protected]** 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.