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Design, develop, and test real-time embedded firmware in C/C++ for battery management systems (cell balancing, charging, thermal management, contactor control). Integrate supplier subsystems, perform hardware bring-up and debugging, create requirements/design/test documentation, and collaborate with cross-functional vehicle, controls, and validation teams through the software development lifecycle.

Design, implement, and test embedded real-time software for vehicle body, thermal, lighting, and closure systems. Create requirements, design and test plans, integrate supplier subsystems, and collaborate with cross-functional teams for hardware bring-up and validation.

Manage general ledger activities including journal entries, reconciliations, and month-end close. Reconcile discrepancies, prepare monthly reconciliations, support annual audit and tax filings, collaborate with FP&A on accruals and capitalization, maintain ledger and accounting processes, and continuously improve accounting systems and controls.

The AV Safety Data Reporting Engineer will support safety data reporting and compliance by analyzing large datasets and improving reporting processes across teams.

Lead integration of the autonomy stack across perception, planning, controls, simulation, and vehicle software. Own roadmap, milestone planning, dependency mapping, risk management, integration test plans, and release readiness. Coordinate engineering, safety, release management, and field teams to validate on-road readiness and continuously improve integration processes.

Lead end-to-end program planning and execution for next-generation compute and sensor platforms. Align cross-functional hardware, firmware, perception, and software teams, manage dependencies and risks, run schedules and executive reporting, facilitate technical trade-offs, and establish program processes for validation and production readiness.

As a Software Engineer on the Motion Planning team, you will develop and improve driving algorithms, leverage backend tooling for testing, and participate in performance evaluations and patent filing.

As a manufacturing test engineer, you will develop and support automated tests for sensors and ECUs in autonomous vehicles, collaborating with cross-functional teams to ensure product functionality and continuous improvement.

The L&D Manager will lead a team, design and deliver learning programs, and ensure they meet organizational needs while maintaining quality and engagement.

The role involves developing deep learning models for autonomous driving using imitation and reinforcement learning, and collaborating on machine learning infrastructure and performance analysis.