The posting, in Motional's own words
archived Oct 15, 2026Mission Summary:
Motional is at the forefront of the driverless revolution. An autonomous driving company backed by Hyundai Motor Group, we are making autonomous vehicles a safe, reliable, and accessible reality. We are seeking a Principal Engineer Team Lead to join and lead our Simulation Infrastructure team within the Testing Services organization. In this role, you will be the technical and team leader responsible for designing, building, scaling, and optimizing the cloud and software infrastructure that powers our Software-in-the-Loop (SIL) simulation framework and offboard validation pipeline. You will lead a high-performing team of engineers responsible for processing millions of simulation runs per month, optimizing cloud compute resources, building robust scenario library infrastructure, and integrating simulation capabilities directly into Motional’s software release gating lifecycle. Your work will directly accelerate autonomy development, improve build health, and ensure safe software releases across our robotaxi fleet.
What You'll Be Doing:
Team Leadership & Strategy Lead, mentor, and grow a team of simulation infrastructure engineers across multiple locations. Define and execute the multi-year technical roadmap for Simulation Infrastructure, aligning team goals with broader Autonomy and Testing Services objectives. Partner cross-functionally with Release, SIL Runtime, Hardware-in-the-Loop (HIL), and Autonomy development teams to expand test coverage and streamline offboard validation. Cloud Scale, Execution & Cost Optimization Architect and maintain high-throughput, multi-cluster (with blue/green CI deployments), cloud load balancing, resim/orchestration pipelines, and job prioritization for cloud simulation. Oversee EC2 sizing and spot queue enablement with automated failover to optimize AWS Cloud expenditures while maximizing compute throughput and queue observability. Develop extensible, plug-and-play simulation engine abstractions and interfaces to support modular simulation architectures. Ensure ecosystem compatibility and seamless integration across internal tools and frameworks. Sim Definitions, Pipeline Automation & Tooling Build and maintain System Under Test (SUT) definitions along with tooling to support SUT workflows across different simulation modalities. Develop infrastructure supporting both local and remote/cloud execution and scaling, including map and scenario infrastructure plumbing. Support and maintain data generation pipelines, synthetic data workflows, and automated log-to-synthetic pipelines. Establish comprehensive cost, throughput, and queue observability, building real-time metrics dashboards for simulation execution, cluster health, and cloud resource efficiency. Lead postmortems, root-cause analysis, and continuous improvement initiatives for simulation test stability and infrastructure reliability.