Senior Motion Planning and Control Engineer,

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: Not specified

The Controls Team is responsible for the synthesis and execution of dynamic trajectories by the Motional Autonomous Vehicle. This team focuses on the generation of comfortable and safe trajectories for the AV to perform, the design of control systems that interface with vehicle platform actuators, and the communication interfaces that relay trajectory information to low-level control modules. The team pursues these goals through a process of rigorous algorithmic design, validation, analysis in simulation, and comprehensive closed-course and public road evaluation.

We are seeking a Senior Motion Planning and Controls Engineer to build a robust motion planning and control pipeline as our responsibilities grow to support more motion control capabilities and the scaling of Motional’s deployment area. This role will contribute to enabling cutting-edge capabilities for Motional’s AV, including algorithm design and documentation, software development, metrics definition, simulation implementation and evaluation, and in-vehicle testing. The team member will maintain cross-functional relationships across the organization to help understand and communicate the impacts of their work on overall AV performance.

Requirements

• Not specified

Responsibilities

• Low-Level Controller Design: Design, implement, and test low-level controllers, state estimators, and state-machine logic that directly interface with platform sensors and actuators to produce performant, comfortable, and safe motion tracking.
• Trajectory Integration: Integrate upstream trajectory generation and downstream motion tracking controllers through principled trajectory interface design, including generator / controller state machine logic design and trajectory communication formulation.
• Test/Analysis Tooling: Develop test/analysis tooling for isolated evaluation of motion tracking performance and incremental integration testing that incorporates upstream components (trajectory generation, planning, perception, etc.), select test parameters, and analyze test results.
• Simulation Environments: Architect and implement dynamic simulation environments that accelerate the design and analysis of motion planning and control algorithms, including validation of simulation models against real-world data.
• Performance Metrics: Define and implement performance, comfort, and safety metrics for motion planning and control, and perform quantitative analysis of fleet-wide vehicle data to validate design improvements and identify key areas of improvement.
• Optimization/ML Frameworks: Formulate, implement, analyze, and test optimization and machine learning-based frameworks for dynamic trajectory synthesis.
• Root Cause Analysis: Build a system-wide understanding of Motional’s autonomy stack components by supporting root-cause analysis of simulation, closed-course, and public road events from a motion planning and control perspective.
• Travel: Travel for in-person vehicle testing at Motional’s and our partner’s deployment and test track locations, typically once every Not specified.

Company Information

• Not specified