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The role involves optimizing 3D rendering of sensor data using GenAI/ML, collaborating with teams to enhance sensor simulation realism, and ensuring high fidelity in synthetic data generation.

Contribute to algorithmic advancements in driving behavior, ensuring effective robot operation even during failures. Collaborate cross-functionally to develop robust solutions.

Lead vehicle Bill of Materials cost estimating and should-cost modeling. Maintain vehicle development cost database, create detailed component/system cost estimates, drive value engineering, identify cost reduction opportunities, and collaborate with cross-functional engineering teams to optimize component design for cost and program volumes.

The Software Engineer will enhance driving behavior algorithms, collaborate cross-functionally on strategies to mitigate system failures, and implement scalable solutions in code, aiming for seamless integration with the driving stack.

Lead regulatory compliance for ground-up autonomous vehicle designs by identifying applicable FMVSS, EU, UNECE and international regulations, managing requirements, interpreting standards, coordinating tests with labs and engineers, supporting on-site certification, drafting compliance documentation, and monitoring future regulatory changes.

Manage deployment and oversight of an MSP BPO procurement engagement, build SOPs and governance, track KPIs/SLAs, drive procurement operations improvements, partner with stakeholders, and support P2P workflows in Zip and Ariba.