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The Hardware Quality Industrialization Engineer will enhance quality processes, manage suppliers, analyze returns, and implement corrective actions in a growing manufacturing team.

Lead integration of learned models into the autonomous behavior planning stack. Collaborate with ML and autonomy teams to design, validate, monitor, and deploy learned planning components while ensuring safety, fallback strategies, debuggability, and production readiness. Mentor engineers and drive cross-functional technical designs using simulation, logs, and real-world data.

The Systems Engineer will design and execute Kodiak's Autonomy Fault Management System, addressing faults safely to enhance driverless vehicle deployment and performance.

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.

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.

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.

Design, test, and optimize perception sensor systems (lidar, radar, camera, ultrasonics) for autonomous trucks. Integrate sensors, analyze on-road data, run field tests, define field-of-view requirements, manage suppliers and contract manufacturers, and collaborate with perception teams to debug and improve sensor performance.

Build and automate large-scale ML data pipelines and tooling for autonomous trucking. Improve dataset curation, deduplication, labeling, evaluation, and metrics infrastructure. Collaborate with robotics, autonomy, and infra teams to support continuous learning, deployment, and scalable AI infrastructure for Kodiak's fleet.

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