Motional

Software Engineer

• Enable rapid and safe software delivery by providing a unified, efficient and reliable Developer Platform for all developers at Motional
• Develop and maintain tools and systems that optimize the development lifecycle, including CI/CD pipelines, build systems, toolchains and code quality tools
• Develop and maintain automation, services and bots to reduce developer toil
• Develop pipelines to capture metrics that track Motional’s developer experience
• Work closely with engineering teams around the world (Singapore, US) to understand needs and identify pain-points
• Collaborate closely with DevOps/SRE team members to ensure platforms, tools and processes meet engineering demands
• Drive initiatives that empower teams to deliver on Motional’s mission

Developer Platform Engineer

Solutions Engineer

• Deploy ML-based motion planning and control models onto vehicle platforms, ensuring performance under resource constraints
• Optimize models for inference speed, latency, and memory footprint without sacrificing accuracy or safety
• Collaborate with motion planning, controls, and perception teams to integrate ML components into the end-to-end autonomous driving stack
• Build scalable deployment infrastructure including evaluation pipelines, model packaging, benchmarking, and automated validation
• Validate model performance in both simulation and on-road testing, analyze results and drive iterative improvements
• Maintain production-quality code in C++ and Python
• Ensure models run reliably in production under strict performance and safety constraints

Principal Machine Learning Integration Engineer

Engineer

• The Controls Team is responsible for the synthesis and execution of dynamic trajectories by the Motional Autonomous Vehicle, focusing on comfortable and safe trajectories, control system design, and communication interfaces.
• Work on 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.
• Bringup of a reverse driving controller (longitudinal and lateral) from scratch to support reverse driving capabilities across Motional’s fleet of AVs.
• Design, implement, and test low-level controllers, state estimators, and state-machine logic that interface with platform sensors and actuators to produce performant, comfortable, and safe motion tracking.
• Architect and implement dynamic simulation environments and validate simulation models against real-world data.
• Integrate upstream trajectory generation and downstream motion tracking controllers through principled trajectory interface design and state machine logic.
• Develop test/analysis tooling for isolated evaluation of motion tracking performance and incremental integration testing incorporating upstream components.
• Define and implement performance, comfort, and safety metrics for motion planning and control, and perform quantitative analysis of fleet-wide vehicle data.
• Formulate, implement, analyze, and test optimization and machine learning-based frameworks for dynamic trajectory synthesis.
• Support root-cause analysis of simulation, closed-course, and public road events from a motion planning and control perspective.
• Travel for in-person vehicle testing at Motional’s and partner deployment/test track locations, typically once every 4 to 6 months.

Senior Controls Engineer – Autonomy

Data Engineer

• Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI’s for the validation of the autonomous vehicle performance.
• Drive innovation by researching and developing new large scale data analysis systems.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.

Senior Data Engineer

Machine Learning Engineer

• Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
• Drive innovation by researching and developing new large scale data warehousing and analysis.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.
• Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
• Manage project timelines, resources, and deliverables to ensure successful project execution.

Developer Platform Engineer

Principal Machine Learning Integration Engineer

Senior Controls Engineer – Autonomy

Senior Data Engineer

Principal Engineer, Data & ML Infrastructure