Senior Motion Planning Engineer – Safety Layer

This is a fully remote position, open to applicants in Nevada, +2 more states.

📋 Description

• Create, execute, and assess algorithms for generating and selecting trajectories from asynchronous generation sources.

• Develop algorithms for evasive maneuvers in conjunction with low-level control systems to ensure collision avoidance.

• Assess various perception sensor modalities to identify scenarios that are critical for safety.

• Build testing and analytical tools for evaluating safety layers both in isolation and at the system level.

• Choose test parameters and interpret test outcomes.

• Validate and enhance dynamic simulation environments, ensuring alignment with real-world data.

• Establish and execute metrics related to performance, comfort, and safety.

• Conduct quantitative analysis of vehicle data across the fleet.

• Assist in root-cause analysis for incidents occurring in simulations, closed-course tests, and on public roads.

• Travel approximately once every 4 to 6 months for hands-on vehicle testing at Motional and partner deployment and test-track sites.

• Foster cross-functional relationships throughout the organization and convey the effects on overall autonomous vehicle performance.

⛳️ Requirements

• A Master's degree or PhD is preferred in Control Theory, Robotics, Computer Science, Applied Mathematics, or a similar discipline.

• A minimum of 3 years of experience in developing motion planning and collision avoidance algorithms within an industrial context, ideally within the autonomous vehicle industry.

• A solid foundation in modern C++ programming (C++17, C++20), focusing on high-performance and dependable systems.

• Experience in trajectory generation using numerical optimization and sampling-based methods.

• Proficiency in cost- and heuristic-based trajectory selection.

• Knowledge of multi-modal prediction models.

• Experience with geometric and physics-based collision detection.

• Familiarity with time-series data processing and visualization techniques.

• Understanding of dynamic collision modeling, convex set processing, state machine logic, and multi-rate decision-making processes.

• Acquaintance with agentic-based development tools.

• Familiarity with Linux-based operating systems.

• E-Verify employment eligibility verification is required for newly hired employees.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan with company matching.

• Health savings accounts.

• Life insurance.

• Pet insurance.

• Potential for bonus compensation.

• Possible company equity.

• An inclusive and diverse work environment.