Top Tech Jobs & Startup Jobs

Designs and executes high-level integration, feature, functional, and regression testing for autonomous vehicle systems. Develops scalable test plans and automated tests using HIL and SIL assets, analyzes vehicle logs and metrics, investigates failures, supports root-cause analysis, and manages defects through resolution. The role validates autonomy, robotics, and autonomous behaviors against safety, customer, and milestone-readiness requirements.

Leads strategic sourcing and direct procurement for vehicle components, including supplier identification, RFQs, negotiations, contract coverage, cost reduction, supply chain development, supplier performance, market research, and relationship management. Partners with engineering, manufacturing, finance, legal, operations, and other stakeholders to support vehicle development and autonomous ride-hailing programs.

Leads vehicle and robotaxi fleet energy management, including energy strategy, subsystem requirements, thermal and powertrain integration, simulation, testing, model validation, range optimization, and roadmap development. The role manages an energy engineering team and collaborates across hardware, vehicle, strategy, and operations teams to deliver energy-efficient autonomous vehicles.

Lead and scale a software engineering team building high-performance visualization tools for autonomous vehicle data. Own technical and product strategy across single-vehicle introspection and fleet analytics platforms, guide browser performance optimization for 3D rendering and large data streams, improve developer usability, and collaborate with autonomy, safety, and infrastructure teams.

Reviews purchase requisitions and purchase orders for U.S. GAAP, accounting policy, budget, and forecast compliance. Performs forecast-versus-actuals analysis, open PO cleanup, accrual support, and committed-spend reporting. Partners with budget owners, FP&A, Accounting, and requesters to resolve coding and compliance issues. Maintains finance trackers and reports operational metrics, using SAP systems, procurement tools, and Excel to improve spend visibility and process efficiency.

Lead Zoox’s ML performance optimization team and roadmap for scalable training and inference. Oversee ML platform design, distributed training, GPU utilization, memory and communication optimization, model compression, profiling, and low-latency vehicle inference. Hire and mentor engineers while collaborating with ML research, software, data, product, and hardware teams to deliver measurable performance improvements across autonomous driving systems.

Own sustaining engineering for vehicle body and closure systems across production and in-service autonomous vehicle fleets. Lead root-cause investigations, corrective actions, design changes, validation, engineering change requests, retrofits, and rework campaigns. Use fleet and production data to improve safety, durability, reliability, serviceability, manufacturability, and uptime while collaborating with development, manufacturing, service, quality, reliability, and suppliers.

Perform occupant safety CAE simulations throughout virtual and physical vehicle development, including model setup, correlation, virtual DVP execution, structural analysis, countermeasure recommendations, engineering reporting, and project gateway support. The role supports vehicle safety targets, coordinates dummy and restraint model builds, balances safety attributes, and contributes to certification against FMVSS, USNCAP, IIHS, ECE, and EU protocols.

Own Talent Acquisition program management, capacity planning, reporting, vendor relationships, tooling, and conference operations. Partner with Recruiting, HRIS, Legal, and senior leaders to deliver scalable hiring programs, improve recruiting infrastructure, govern data quality, support interview enablement, and guide responsible AI adoption in recruiting.

Develop deep learning models using imitation and reinforcement learning to generate and evaluate autonomous vehicle trajectories. Build production machine learning pipelines, metrics, and error-analysis tools, leveraging large-scale infrastructure. Collaborate with Planning, Perception, Simulation, and Systems Engineering teams to improve autonomous driving behavior in complex urban environments.