Address
Form of workThe Embedded Software Controls team delivers robust high performance software on real-time embedded compute platform. Supporting different vehicle platforms provided by OEMs, embedded controller hardware bring up, and safety features. Including system health monitoring, backup strategy when failure happens, redundant system design to meet ASIL-D standards for autonomous driving at scale. Motional builds state-of-the-art fully Autonomous Vehicles, encompassing software, hardware, vehicle, and cloud solutions for cars. We specialize in robo-taxis for passenger rides and goods delivery, currently operating in Las Vegas.
Role responsibilities:- Leads and grows an Embedded Software team to deliver autonomous driving vehicle control systems from design, prototyping, testing, deployment, to production.
- Provide technical leadership to make consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.
- Oversees the development and optimization of critical platform control components such as body control, sensor cleaning, temperature control, and vehicle monitoring.
- Identifies and reviews technical requirements in collaboration with partnering teams, such as Systems Engineering and Safety, to drive completion of features and projects.
- Leads from a strong technical background in embedded Software Engineering best practices.
- Coordinate with Motional partners and suppliers for the purpose of vehicle platform bring up and next generation platform design.
- Mentors, provides feedback (technical and professional) to team members, and collaborates with project managers to roadmap and execute plans on schedule.
- Understands and explains trade-offs and complex concepts to peers and leaders to drive decision-making.
- Self-motivation to generate new ideas, and provide a vision for the team and our system.
- Experience leading a team of 5+ Engineers in a value-driven organization
- 5+ years of experience implementing vehicle controllers utilizing both classical and modern control theory.
- Masters or PhD in Robotics, Computer Science, Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field..
- Expertise in Embedded C development and C++ within a large codebase.
- Experience successfully launching a new product into the commercial market.
- Preference for candidates with an understanding of linear and nonlinear control theory (MPC, LQR, PID, etc.), kinematics, and mechanical system dynamics.
- Experience in the designing, implementing, and tuning real-time trajectory tracking controllers for vehicle control.
- Experience with vehicle control algorithms in Autonomous Vehicles, including both on-road and simulation testing.
- Experience in implementing, using, and debugging high-fidelity dynamical simulators
- Experience in system identification and model development using machine learning methods.
- Familiarity with the AUTOSAR development environment
- Familiarity with Vector tools such as CANalyzer, CANape, CANoe.
- Familiarity with Automotive SPICE, MISRA C, ASIL-B & D and ISO 26262 requirements.
