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Design and maintain high-speed GPU-based simulation platform ensuring deterministic execution, low latency, and reproducibility at scale. Own interfaces to the self-driving stack, optimize performance, and build self-serve systems to accelerate ML and autonomy workflows while collaborating with ML experts to bridge fidelity gaps.

The Senior Program Manager for People Experience will lead complex HR technology programs, ensuring timely delivery and alignment with business objectives while optimizing systems like ServiceNow and Workday.

Develop and optimize 3D graphics algorithms for sensor simulation, leveraging GenAI/ML techniques. Collaborate with various teams to enhance simulation realism and generate high fidelity data.

Own and maintain company-wide employee expense, benefits, and stock-based compensation models; maintain long-range and annual G&A financial models; partner on headcount planning and MEC activities; analyze large datasets from Anaplan, SAP S4, and SAP Ariba; manage close activities and deliver actionable financial insights to support decision-making.

Develop and optimize a high-speed GPU-based simulation framework for ML training and validation. Apply reinforcement learning to solve behavior and path-planning challenges, bridge sim-to-sim and sim-to-real fidelity gaps, enable self-serve data generation for autonomy users, and write production-ready code integrating ML into core simulation architecture.

The Software Engineer will enhance large-scale simulation pipelines for validating autonomous vehicle behavior, focusing on cost efficiency, reliability, and performance improvements.

Lead product strategy and delivery for data-science driven backend services powering pricing and fleet optimization. Own roadmap, backlog, and cross-functional execution; partner with data science and engineering to build algorithms, data pipelines, simulation and experimentation infrastructure to improve customer experience and operational efficiency.

Design, improve, and operate large-scale GPU- and data-intensive simulation and ML training pipelines (Ray/Kubernetes/AWS). Build production APIs, SDKs, and tools, and optimize cost, reliability, and performance to validate autonomous-vehicle behavior.

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.

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