Job Description
The role involves designing, developing, testing, and validating real-time control and optimization software for autonomous vehicles in a production environment, focusing on ensuring safe, reliable, and efficient autonomous freight transportation.
Key Responsibilities
- Design, implement, and support real-time mission-critical software for autonomous vehicle control and optimization.
- Collaborate with research and control teams to develop, test, and validate control and optimization algorithms in simulation and in-vehicle testing.
- Support rapid prototyping of new methodologies through simulation and hardware-in-the-loop testing.
- Participate in tuning, calibration, and in-vehicle testing of autonomous systems.
- Assist in visualization and post-processing of test data for system analysis and improvement.
- Coordinate with planning, localization, and testing teams for software integration and deployment.
Requirements
- A MSc or PhD in Mechanical Engineering, Electrical Engineering, Robotics, or Computer Science with a background in controls and optimization.
- Deep understanding of optimal control, Model Predictive Control (MPC), and Kalman filtering.
- At least 5 years of production-level experience in C, C++, high and low-level coding, and Matlab Simulink.
- Experience using optimization techniques and tools solvers to create robust and performant controllers.
- Solid background in mathematics, linear algebra, vehicle dynamics modeling, and controls.
- At least 2 years of experience in the Autonomous Vehicle (AV) and Advanced Driver Assistance Systems (ADAS) industries.
- Experience using source control, containerization, bash scripting, ROS2, CAN, Python, and Linux.
- Ability to design, implement, integrate, and support real-time mission-critical software for an autonomy stack.
- Experience working with research engineers to develop maintainable, testable, and robust software designs.
- Experience in developing, designing, and implementing control and optimization methods in simulation and through in-vehicle testing.
- Experience supporting rapid prototyping of new methodologies via Simulation in the Loop (SiL) and Hardware in the Loop (HiL).
- Experience participating in tuning, calibration, and in-vehicle testing of autonomous systems.
- Ability to collaborate with planning, localization, drive-by-wire (dbw), and testing teams for efficient, secure, and scalable software integration.
Benefits & Perks
Salary range of 180,000-250,000 USD
Onsite work schedule, 5 days a week
Collaborative and inclusive work environment
Opportunities for professional growth and development
Work with cutting-edge autonomous vehicle technology
Ready to Apply?
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