Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. They are seeking a Senior Director of Engineering to lead the development and delivery of computational infrastructure and software solutions for their self-driving system, managing a team of engineers and overseeing architectural design.
Responsibilities:
- Define the long-term vision and strategy for our robotics efforts within the autonomous vehicle program. This includes identifying key technological challenges and opportunities, and setting the roadmap for hardware and software development
- Lead, mentor, and grow a team of talented robotics engineers, software engineers, and managers. Foster a culture of innovation, collaboration, and excellence
- Oversee the architectural design and implementation of our on-vehicle systems, including embedded software, runtime middleware, IPC, AI accelerators, Sensor Pipelines, Operating Systems and Simulation Infrastructure. Ensure these systems are scalable, reliable, and safe for our autonomous driving applications
- Work closely with other engineering teams (e.g., AI/ML, hardware, and safety) to ensure safe, reliable and optimized architecture across our autonomous driving platform
- Manage budgets, timelines, and resources effectively to meet project goals. This includes making strategic decisions on build-versus-buy, external partnerships, and research initiatives
- Serve as a subject matter expert in Software, Hardware Accelerators and Real Time Embedded Systems, staying abreast of the latest industry trends, research, and technological advancements. Provide technical guidance and oversight on complex engineering challenges
Requirements:
- Minimum of 10-15 years of experience in robotics, with a significant portion of that time spent in a leadership role
- Demonstrated experience in the autonomous vehicle, aerospace, or a related field with complex embedded applications
- Proven experience in managing large, multidisciplinary engineering teams
- A track record of successfully bringing complex embedded products from research to production
- Expertise in one or more of the following areas: Robotics, Complex Embedded Software Development, Simulation for Autonomous Vehicles
- Proficiency in programming languages such as C++ and Python
- Strong understanding of robotics operating systems (e.g., ROS)
- A Master's or Ph.D. in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related technical field is preferred