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Leads technical projects and cross-functional teams solving complex autonomous-driving problems. Responsibilities include analyzing data, clarifying requirements, prioritizing technical work, mitigating risks, tracking project status, and coordinating across autonomy, vehicle engineering, software, product, finance, and operations. The hybrid role is based in Ann Arbor, Michigan, with occasional travel to operational sites.

Leads end-to-end technical release coordination for autonomous vehicle software, aligning engineering, validation, safety, DevOps, deployment, product, and business teams. Owns release readiness, risk and dependency tracking, production incident management, hotfix and commercial release lanes, and remediation through resolution. Establishes closed-loop improvement processes that incorporate incident and root-cause learnings into future planning and validation. Creates program artifacts, communicates technical issues to diverse stakeholders, and drives timely, high-quality delivery.

The Senior Accountant will manage reconciliations, month-end close activities, accruals, journal entries, vendor invoicing, and accounting documentation. The role supports accounts payable, accounts receivable, payroll, inventory and bill-of-materials tracking, financial statements, audits, expense compliance, internal controls, forecasting, reporting, and system implementations. The position also researches accounting treatment under US GAAP and ASC 606, presents findings to management, and collaborates cross-functionally with finance, supply chain, engineering, vendors, and employees.

The Systems Engineer II will support system design and cross-functional engineering efforts, collaborating with test and validation teams to ensure compliance with requirements and specifications.

As a Senior Product Safety Architect, you will define the safety architecture for L4 autonomous systems, ensuring compliance with safety standards and managing risks associated with AI/ML components.

The Senior Systems Engineer will facilitate cross-functional engineering efforts, support system design, and collaborate with Japan's team for autonomous vehicle projects. Responsibilities include technical requirements analysis, testing, and continuous improvement initiatives.

Design, operate, and scale ML data and training pipelines for autonomous driving. Build distributed training, orchestration, CI/CD and infrastructure-as-code; maintain data/metadata stores and tooling to support large-scale model training and evaluation across cloud and cluster environments.

The Senior Data Scientist will develop metrics for evaluating autonomous vehicle performance, analyze data, collaborate across teams, and communicate findings to improve safety and passenger experience.

Train, integrate, test, optimize, and monitor machine learning models and autonomy software on autonomous vehicles. Coordinate real-world vehicle testing, diagnose field issues, design data collection strategies, and develop tools and visualizations for analyzing behavior and control subsystem performance. The role requires robotics software development, sensor interface knowledge, Linux programming, and software debugging expertise.

Design, train, and evaluate advanced machine learning models for autonomous driving, simulation, and ML platforms. Lead small cross-functional engineering teams, establish data and experiment practices for petabyte-scale training, address long-tail model failures, and work with multimodal datasets exceeding 100TB. The role requires commercial robotics experience, mentoring capability, expertise in VLA or generative world models, Python/PyTorch, sensor processing, and potentially edge deployment.