Senior Research Engineer, Controls

Job description

Job responsibilities

• Design, implement, and enhance control algorithms by developing frameworks that integrate MPC with learning based approaches (DL/RL/IL)
• Work cross-functionally with domain experts to implement data driven controller design for scalability
• Develop tools and infrastructure for dataset generation, training, and evaluation to drive advancements in online control optimization
• Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments
• Take a lead role in the planning and execution of vehicle testing in the offline simulation environment and on the public road to systematically improve performance, as well as performing root cause analysis and…
• Track and incorporate the latest research advancements

Job requirements

• Master's or PhD degree in Computer Science, Mechanical Engineering, Robotics, Aerospace Engineering or related field
• 2+ years of MLE experience or industry experience designing and developing for robotics applications
• Strong foundation in motion control and modern neural network architectures, with expertise in at least one application area, such as IL/RL, time-series analysis, or dynamic system modeling
• Skilled in debugging robotic systems within Linux environments, with strong programming expertise in Python and C++
• Experience model development & training with modern frameworks (e.g. PyTorch)
• Hands-on familiarity with data ingestion and processing pipelines
• Hands-on application skills in any of the following areas: adaptive and nonlinear control, MPC & optimal control, robust control, data-driven control, Kalman filters, etc.
• Have a solid understanding of AV control, vehicle dynamics and drive-by-wire systems