Teams at Bot Auto

Design, deploy, and operate large-scale workflow orchestration platforms (Argo/Airflow/hybrid) for simulation, ML training, data pipelines and CI/CD. Build SDKs, abstractions, and self-service tooling; ensure reliability, observability, cost-efficiency, GPU and cross-cluster scheduling on Kubernetes across cloud and on-prem; integrate with storage, streaming, registries, and CI/CD; document best practices and mentor engineers.

Design, implement, and validate motion planning, behavior, prediction, and online mapping algorithms for autonomous trucks. Build learning-based prediction/planning pipelines, integrate models on-vehicle, root-cause road and simulation failures, and collaborate across perception, control, simulation, and operations to ship validated releases.

Develop, train, and optimize deep learning models for autonomous driving (perception, mapping, end-to-end planning). Execute full ML lifecycle from data curation to deployment, collaborate with simulation and infrastructure teams, and evaluate SOTA research to address real-world corner cases.