Motional

We're making driverless vehicles a safe, reliable, and accessible reality.

Principal Engineer – Trajectory Planning Lead

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 1,001-5,000Since 2020H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

16 days ago

Salary

$240K - $330K / year

Postgraduate Degree2 yrs expEnglishLinuxPython

Job Description

• Lead and scale a high-impact trajectory planning team. • Drive commercial launch readiness for trajectory planning. • Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. • Manage the computational efficiency and real-time performance of trajectory generation algorithms. • Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents. • Oversee the successful execution of complex, multi-team initiatives. • Coordinate with peer leads to provide technical leadership. • Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones.

Job Requirements

  • Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
  • Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace).
  • Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
  • Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control.
  • Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty.
  • Full-Stack Robotics Context: Strong intuition for the entire robotics stack.
  • Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment.
  • Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization.
  • Influence & Clarity: Exceptional communication skills.
  • Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.

Benefits

  • medical
  • dental
  • vision
  • 401k with a company match
  • health saving accounts
  • life insurance
  • pet insurance

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