Top Tech Jobs & Startup Jobs

Lead end-to-end supply chain for autonomous vehicle hardware: sourcing, procurement, supplier and inventory management, materials planning, trade compliance, and supplier negotiations to ensure on-time, cost-effective, quality part delivery from prototype through production ramp.

Own sensor requirements, characterization, placement, commissioning, validation, and troubleshooting for autonomous Class 8 trucks. Analyze camera, lidar, radar, microphone, IMU, and GNSS/INS performance; develop test setups and automation; support bench and vehicle testing; collaborate with autonomy, perception, software, and hardware teams; and lead root-cause analysis and sensor design improvements.

Lead the end-to-end functional/system safety lifecycle for an autonomous vehicle program: hazard analyses, safety requirements, safety case/evidence, and verification strategy across simulation and vehicle testing. Drive safety-critical architecture decisions, ensure traceability from requirements to tests, establish lightweight safety processes, and guide teams on relevant standards (ISO 26262, SOTIF, UL 4600). Collaborate across autonomy, vehicle platform, embedded/compute, simulation, and test to produce safety evidence for internal and external review.

Design, build, and scale vehicle data-collection networking and infrastructure. Integrate software with onboard compute, sensors, and navigation. Build CI/CD, ensure performance, security, and operational excellence for an autonomous vehicle fleet.

Owner of full-cycle recruiting for hard-to-fill engineering roles across robotics, autonomy, perception, ML, controls, embedded, mechanical and electrical engineering. Partner with engineering leaders to define role scopes, proactively source senior technical talent, manage candidate experience and offers, track hiring metrics, and champion employer brand.

Lead integration and system-level design for autonomous electric vehicle subsystems across mechanical, electrical, and software domains. Define architectures and interfaces, perform performance, safety, and reliability analysis, plan and execute vehicle-level testing and validation, troubleshoot system-level issues, manage requirements, and support deployment and field resolution.

Own and improve sensor extrinsic calibration and localization systems for autonomous trucks. Develop evaluation metrics and fleet-scale frameworks, debug real-world failures, and collaborate across autonomy, vehicle software, and data teams to tighten sensor geometry and state-estimation pipelines.

Own system-level requirements and architecture for an autonomous vehicle platform. Decompose vehicle requirements into subsystem/component requirements, run design reviews, drive verification/validation, partner with Mechanical, SW/Autonomy, and Functional Safety teams, and lead root-cause analysis and requirement-based improvements.

Build and optimize real-time on-vehicle software for autonomous trucks, including data logging, cross-compilation pipelines, performance instrumentation, testing/CI, and integrations with ML, firmware, cloud, and fleet systems.

Design and maintain pipelines and tooling to ingest, validate, model, and serve multi-modal driving data for ML training, evaluation, and debugging. Collaborate with ML, vehicle software, curation, and fleet teams to scale the data stack and make datasets discoverable and queryable.