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Develop and implement safety-critical vehicular motion control software in C++ for articulated autonomous trucks. Characterize vehicle dynamics, build motion prediction models, test and tune controllers, specify requirements, and collaborate across planning, hardware, systems, and infrastructure teams to deliver robust, fail-safe control systems.

Lead improvements to behavior and trajectory prediction for autonomous vehicles. Own prediction work within Planning, collaborate with ML, Perception, Simulation, and Systems teams, refine prediction-planning interfaces, define metrics and evaluation frameworks, analyze failures via logs/simulation, and lead technical projects while mentoring junior engineers.

Lead the design and execution of the Autonomy Fault Management System, ensuring safe operation through all stages of development while collaborating with cross-functional teams.

Lead development of learned scene estimation and multi-sensor fusion for autonomous perception. Improve multi-target tracking, measurement association, and robust state estimation. Build algorithms to handle noisy measurements, create tooling/metrics/visualizations, and deliver high-reliability deployed software while collaborating across teams.

Own and scale the IT helpdesk: build ITSM workflows, implement ticketing and asset tools, provide hands-on hardware/software/AV support, manage IAM and onboarding/offboarding, create knowledge base and automation, hire and mentor a 2-3 person support team.

The Hardware Technical Program Manager will create roadmaps, oversee development, and ensure cross-functional team deliverables for autonomous vehicle hardware projects.

Design, implement, and test feedback, control, and actuation strategies for safety-critical autonomous truck systems. Develop vehicle models, characterize dynamics, build redundant and fail-safe control architectures, collaborate across hardware and software teams, and produce requirements, test plans, and integration-level testing.

Lead architecture and implementation of large-scale multimodal transformers that fuse camera, LiDAR, and radar. Own roadmap, design experiments, run distributed training, deploy models to trucks, define pretraining objectives, mentor engineers, and align model design with system latency and compute constraints.

Support development and production operations for autonomous trucking: communicate with safety drivers, track and document runs, manage driver schedules, update the Truck Management System, create SOPs, troubleshoot and document AV system issues, assist with AV setup and health checks, and report logistical discrepancies.

Run and improve large-scale simulation suites to validate autonomous trucking software. Design test plans and scenarios, execute and triage daily simulations, report results, collaborate with engineers to ensure realistic scenarios, and enhance simulation tooling and automation to accelerate safe software development.