Senior Motion Planning Engineer — Safety Layer

Motional

Oregon

Hybrid

USD 172,000 - 229,000

Full time

11 days ago

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Job summary

Motional is seeking a Senior Motion Planning - Safety-Layer to advance safety-critical trajectory design for its autonomous vehicles in the United States. You will design, implement, and test algorithms for synthesizing and selecting trajectories, and collaborate with low-level control to maximize safe actuation.

The role covers simulation, metrics, and in-vehicle testing, plus cross-functional communication and travel for on-track validation every 4–6 months.

Qualifications

  • MS/PhD preferred in Control Theory / Robotics / CS / Applied Math or related field.
  • 3+ years in motion planning and collision avoidance algorithms in an industrial setting, preferably AV.
  • Strong background in modern C++ (C++17, C++20) and high-performance systems.
  • Experience with trajectory generation via numerical optimization and sampling-based methods.

Responsibilities

  • Design, implement, and test algorithms for synthesizing and selecting trajectories across asynchronous generation sources to ensure safety-compliant AV behavior.
  • Develop evasive maneuver planning algorithms with low-level control for collision avoidance.
  • Evaluate perception modalities to refine safety-layer safety-critical detection.
  • Create test/analysis tooling for isolated and system-level evaluation of safety-layer components.

Skills

C++17/20
Motion planning
Linux
Trajectory generation
Collision avoidance

Education

MS/PhD preferred

Tools

Gitlab
Bazel
VSCode/CLion

Job description

Motional is seeking a Senior Motion Planning - Safety-Layer to advance safety-critical trajectory design for its autonomous vehicles in the United States. You will design, implement, and test algorithms for synthesizing and selecting trajectories, and collaborate with low-level control to maximize safe actuation.

The role covers simulation, metrics, and in-vehicle testing, plus cross-functional communication and travel for on-track validation every 4–6 months.

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