Develop and operate systems from in-car to cloud, focusing on backend and vehicle agent areas, with full-cycle ownership.
About this role
This backend role develops the machine-learning platform for autonomous-driving development, enabling ongoing model improvement across varied operating environments. Responsibilities cover training pipelines for object-detection and other models; operations from performance monitoring to vehicle deployment; visualization and analysis of large unstructured datasets; annotation management and sensor-specific data conversion; plus simulation-linked evaluation and release and performance assessment using driving data. Requirements include 3+ years in web-application development and operations and production software development; programming experience with languages such as Python and Go; cloud development and operations; system-architecture and API design; CI/CD pipeline operations; and basic machine-learning knowledge. Also required are computer-science fundamentals; software design attentive to maintainability, testability and performance; basic concurrency, parallelism, networking and protocol knowledge; team debugging and code-review experience; and at least one full development lifecycle from planning and design through release and operations.
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