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Motional

All-electric driverless robotaxi service provider

Principal Engineer Motion Planning

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A PhD in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field is preferred; alternatively, a master's degree with 7+ years of experience in robotics, preferably in the autonomous-vehicle industry, is acceptable.
  • 10+ years of research experience in robotics or motion planning, with a track record of contributing to state-of-the-art solutions and leading significant projects.
  • 5+ years of C++ software development, emphasizing high-performance and reliable systems.
  • Experience owning and leading technical development of complex features from problem formulation through research, implementation, and production deployment, with significant impact.
  • Experience with probabilistic models, including Gaussian mixture models, Hidden Markov Models, and Particle Filters.
  • Experience with machine learning techniques, such as Bayesian modeling and inference techniques, for decision-making under uncertainty.
  • Experience with the Bazel build framework.

Responsibilities

  • Lead research and development of novel algorithms and subsystems for motion planning in autonomous driving to expand the Operational Design Domain, including search-based and geometry-based methods and probabilistic decision-making under uncertainty.
  • Lead cross-functional projects to define new or upgrade existing interfaces to solve problems.
  • Monitor overall system performance, identify areas for improvement, and develop technical strategies to address deficiencies.
  • Guide cross-functional project teams in providing comprehensive solutions beyond the planning system.
  • Architect and integrate combinations of motion planning and prediction algorithms, and drive their evaluation and refinement for real-world deployment.
  • Design and build a robust, scalable, high-performance codebase for rapid exploration, prototyping, and rigorous evaluation of motion-planning approaches and algorithms.
  • Collaborate with upstream perception and prediction components and downstream trajectory optimization, tracking, and control components to ensure end-to-end system performance.
  • Teach others software practices and principles, and guide and mentor team members.

About the Company

Motional

All-electric driverless robotaxi service provider

Motional builds fully driverless, all-electric robotaxis for urban transportation. Its vehicles operate within ride-hailing and delivery networks by partnering with these services to provide autonomous mobility options. The cars use advanced sensors and software to navigate city streets safely, while a real-time Command Center monitors every robotaxi, allowing human agents to supervise operations, offer remote assistance, and ensure passenger safety. Motional differentiates itself through continuous real-time oversight, a scalable B2B model, and a focus on integrating autonomous vehicles into existing mobility networks rather than selling to individual consumers. The company aims to make driverless transportation safe, reliable, and accessible at scale, reducing costs and increasing efficiency for partners and riders alike.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$927.2M
Headquarters
Boston, MA
Founded
2020

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