Senior Research Engineer (Controls)

Join our team as a Senior Research Engineer (Controls) and play a crucial role in delivering mission-critical improvements and new features for our autonomy motion planning and control stack. You will work alongside engineers, research scientists, and domain experts to build optimal and data-driven controls for planned vehicle trajectories. Your responsibilities will include developing machine-learning vehicle models, learning-based control policies, and solving real-world autonomy system challenges. You will also have the opportunity to participate in vehicle performance analysis, tuning, and troubleshooting.

• Design, implement, and enhance control algorithms by developing frameworks that integrate Model Predictive Control (MPC) with learning-based approaches.
• Develop tools and infrastructure for dataset generation, training, and evaluation to drive advancements in online control optimization.
• 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.
• 2+ years of MLE experience or industry experience designing and developing for robotics applications
• Experience model development & training with modern frameworks (e.g. PyTorch)
• Skilled in debugging robotic systems within Linux environments, with strong programming expertise in Python and C++
• Hands-on familiarity with data ingestion and processing pipelines
• Master's or PhD degree in Computer Science, Mechanical Engineering, Robotics, Aerospace Engineering or related field
• 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
• Have a solid understanding of AV control, vehicle dynamics and drive-by-wire systems
• 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
• Proven expertise with application, verification and validation for ADAS/autonomous driving features and functions