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Designs and implements onboard vehicle systems integrating autonomy hardware, embedded devices, AI, and vehicle platforms. Responsibilities include testing vehicle actuation systems, developing real-time operating system components and C++ infrastructure, building reliable compute and network systems, deploying autonomous trucks, and analyzing system performance. Requires 5+ years of software development connected to hardware, modern C++, CAN protocols, and Linux debugging. Experience with control systems, Bazel, bare-metal or RTOS platforms, and ISO 26262 is preferred.

Manage technical execution roadmaps, hardware platform development, integration, manufacturing scale-up, schedules, milestones, resources, risks, and cross-functional dependencies. Partner with hardware, software, systems, and operations teams to deliver autonomous vehicle programs on time and safely. Communicate priorities and tradeoffs, resolve blockers, improve manufacturing productivity, and maintain technical understanding of autonomous vehicle platforms, hardware lifecycles, safety processes, and testing operations.

Leads electromechanical manufacturing engineering for autonomous vehicle systems, including DFM, supplier coordination, documentation, production-line design, troubleshooting, root-cause analysis, yield improvement, testing, fixtures, and automation. The role requires taking complex systems from design through scaled production, coordinating cross-functional teams, improving manufacturing processes, and communicating program progress and risks to leadership.

Leads hardware technical program management across sensor, compute, electrical/mechanical integration, and vehicle platforms. Owns roadmaps, schedules, risks, design and gate reviews, change management, executive reporting, and fleet deployment. Manages and develops three TPMs while partnering with engineering, manufacturing, supply chain, operations, and safety teams. Establishes organization-wide hardware program processes, tooling, metrics, and prioritization practices, supporting complex autonomous vehicle hardware programs from concept through validation and production.

Lead technical strategy and architecture for autonomous navigation, localization, mapping, and pose-estimation systems. Develop sensor-fusion and visual/lidar odometry algorithms using camera, lidar, IMU, GNSS, and wheel-speed data. Define navigation metrics, evaluate sensor performance and calibration, resolve complex localization issues, mentor engineers, and build reliable production software for autonomous vehicles.

Develop analyses and recommendations for ambiguous product and operational problems; design scalable processes; manage feedback between field operations, Product, and Engineering; support feature testing, validation, and deployment; define KPIs and monitor field performance; communicate risks and progress to leadership; and improve operational workflows for autonomous vehicle technology.

Develops and maintains production manufacturing test software for autonomous vehicle components and systems. Automates configuration, verification, and testing; improves test coverage and capacity; transitions prototypes into reliable production platforms; integrates tests with MES, PLM, databases, and traceability systems; enhances operator interfaces; and collaborates across manufacturing, quality, embedded, IT, and cybersecurity teams.

Performs assembly-level mechanical FEA using ANSYS, evaluates structural and dynamic performance, identifies failure modes, and guides design decisions. Conducts and supervises testing, correlates test data with models, writes procedures, develops test fixtures, supports field root-cause analysis, and manages external testing partners and suppliers. The role requires mechanical engineering expertise in FEA, CAD, structural dynamics, materials science, and data acquisition, with occasional travel for testing.

Lead technical strategy and development for autonomous vehicle localization, navigation, sensor fusion, pose estimation, visual and lidar odometry, and calibration systems. Build high-reliability C++ software, define evaluation metrics, optimize sensor performance, resolve complex localization issues, and mentor engineers while setting technical direction across the organization.

Develop and maintain 2D and 3D visualization tools for autonomous vehicle development and testing. Build ReactJS, TypeScript, and Three.js interfaces that convert robotics sensor data into engineering insights. Create backend services and APIs, improve performance and scalability, collaborate with engineering, quality, and operations teams, and deploy production tooling with minimal disruption. The role also involves working with time-series robotics data, profiling applications, documenting systems, and supporting autonomous trucking infrastructure.