Responsibilities
- Design, implement, and enhance control algorithms by developing frameworks that integrate MPC with learning based approaches (DL/RL/IL).
- Responsible for the conceptual design and implementation of data driven controller by working cross-functionally with domain experts and other stakeholders by specifying meaningful insights for solving trajectory tracking problems.
- 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 public roads to systematically improve performance, as well as performing root cause analysis and debugging to address any issues.
- Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.
- Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
- Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills
- Master's or PhD degree in Mechanical Engineering, Robotics, Aerospace Engineering, Computer Science, 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 in model development & training with modern frameworks (e.g. PyTorch).
- Hands-on familiarity with data ingestion and processing pipelines.
Preferred Skills
- 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.
- Proven expertise with Application, Verification and Validation for ADAS / autonomous driving features and functions.
- Experience implementing Safety guarantees for dynamical systems.
Top Skills
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai

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