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The Senior Deep Learning Engineer will design, train, and deploy advanced models for autonomous driving, focusing on prediction and driving policy.

Design, build, and maintain cloud and embedded infrastructure for multi-platform development and OTA pipelines. Implement and optimize CI/CD (GitHub Actions/Jenkins), IaC, container orchestration, monitoring, and deterministic builds. Enforce safety-critical practices (ISO 26262, AUTOSAR), reduce infrastructure costs, and troubleshoot issues impacting development and production.

Develop real-time embedded perception, navigation, and planning software for automotive SoCs and hardware accelerators. Port Python algorithms to optimized, safe C, optimize for memory and runtime constraints, and perform system-level debugging.

Develop and deploy real-time predictive driving models from research to production. Design VLA models, optimize models for edge automotive platforms, bridge cloud training and embedded inference, and integrate state-of-the-art techniques into the autonomy stack while collaborating across R&D teams.

The IT Specialist will manage local and cloud infrastructure, provide technical support, handle IT assets, and conduct onboarding training.