Job Description
The role involves designing, developing, testing, and supporting real-time control and optimization software for autonomous vehicles in a production environment, collaborating with research and engineering teams to enable safe, reliable, and efficient autonomous middle-mile logistics.
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 to ensure secure, scalable, and integrated software solutions.
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 and C++ high and low level coding and Matlab Simulink.
- Experience using optimization techniques and tools solvers to create robust and performant controllers.
- Solid backgrounds in mathematics, linear algebra, vehicle dynamics modeling, and controls.
- At least 2 years of experience in the Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS) industries.
- Experience using source control, containerization, bash scripting, ROS2, CAN, Python, and Linux.
Benefits & Perks
Salary range of 180,000-250,000 USD
Onsite work schedule, 5 days a week
Work environment perks include collaboration, respect, agility, diversity, and inclusion
Ready to Apply?
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