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Lead and build an ML Acceleration team to define strategy and implement scalable solutions to speed ML training. Hands-on role combining technical design (distributed training, hardware and model optimization) with people management, cross-functional collaboration, impact measurement, and continuous performance improvements for production autonomous vehicle ML systems.

Lead end-to-end design release and configuration for developmental vehicle platforms and HIL benches. Define hardware architecture and requirements, manage BOMs, procurement, ECNs, documentation, validation, and cross-functional integration. Drive build-readiness, risk mitigation, and handoff to test operations while providing program status to technical leadership.

Lead development of rigorous evaluation frameworks and metrics for autonomous systems, analyze large on-road and simulation datasets, detect metric drift, prototype statistical and ML methods, correlate simulation and real-world results, and drive actionable improvements to testing, sampling, and launch-readiness decisions while mentoring teammates and advising stakeholders.

Lead vehicle-level integration, validation, and root cause analysis across electrical, network, software, and hardware domains. Configure and validate ECUs, sensors, actuators, and vehicle networks (CAN, CAN FD, Automotive Ethernet). Develop and execute integration and validation test plans, analyze logs and network traces, support vehicle bring-up and production phases, and mentor junior engineers to improve product quality and development efficiency.

The candidate will define and execute motion planning projects, develop behavior models using ML techniques, and collaborate with teams to enhance autonomous vehicle performance.

Lead end-to-end hardware integration between Motional's autonomous driving system and OEM base vehicles. Own ICDs, manage mechanical/electrical/network compatibility, coordinate cross-functional OEM/internal teams, track master integration schedule, oversee engineering documentation and change management, drive platform testing/certification, run technical program reviews, and report integration maturity, risks, and milestones to leadership.

The Senior Software Engineer will enhance developer productivity by building and refining internal services, improve system performance and reliability, and manage complex infrastructure platforms.

Lead and coordinate high-priority cross-functional strategic projects for engineering leadership. Serve as CoS liaison, manage meetings and communications, synthesize technical and financial information, prepare executive briefings, prioritize the CoS calendar, improve processes, and perform ad-hoc analysis to inform strategy and shareholder communications.

Lead design and implementation of motion control and trajectory optimization algorithms for production autonomous vehicles. Build robust C++ software, evaluate control techniques, integrate with prediction and behavior teams, use simulation and CI, mentor junior engineers, and apply numerical optimization and solvers to ensure safe, comfortable vehicle motion.

Develop and maintain long-range financial models, support strategic decision-making and scenario planning, partner with operations and cross-functional teams to forecast revenue and expenses, perform unit economic and competitive analysis, and prepare presentations for leadership.