Design and enable shared infrastructure supporting the end-to-end robotics software lifecycle: Source, Build, Test, Simulate, Deploy, Monitor.
Standardize build systems and CI/CD pipelines across robotics software, embedded systems, and simulation environments.
Define and manage artifact versioning strategies for software binaries, firmware, configuration, calibration data, maps, and vehicle-specific parameters.
Establish platform standards, reference architectures, and best practices used across multiple product teams.
Enable large-scale Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and regression simulation workflows.
Integrate simulation results into CI pipelines with clear pass/fail criteria and reporting.
Support scenario-based testing, coverage tracking, and regression analysis.
Provide infrastructure and tooling to improve correlation between simulation results and real-world vehicle behavior in collaboration with simulation and vehicle integration teams.
Design and evolve shared infrastructure supporting the lifecycle of machine learning models used in autonomy systems.
Enable dataset versioning, lineage tracking, training reproducibility, and model promotion workflows.
Define standards for model packaging, deployment to vehicles, runtime monitoring, and rollback mechanisms.
Partner with perception and autonomy teams to enable safe and performant model deployment, while domain teams retain ownership of model design and performance outcomes.
Build and maintain reliable pipelines for deploying software and models to development vehicles, test fleets, and production systems.
Enable vehicle-level observability through logging, metrics, and distributed tracing.
Support rapid diagnosis of field issues and feedback loops into development, testing, and simulation environments.
Enable traceability for safety-critical systems, including the ability to identify what software, model, and configuration ran on a specific vehicle at a given time.
Support functional safety requirements by enabling reproducible builds, preserving validation evidence, and supporting audits and certification activities (e.g., ISO 3691-4, ISO 13849).
Collaborate closely with Functional Safety Engineering to ensure infrastructure aligns with compliance and certification needs.
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