Jobs at Zoox

Zoox is developing fully autonomous vehicles and the supporting ecosystem required to bring the technology to market at scale. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments.

• Contribute to the development of test frameworks to support all factory testing at Zoox manufacturing sites
• Design and implement server infrastructure to support manufacturing test activities

• Own the end-to-end simulation V&V strategy across different levels of integration ranging from sensors-only through the full system behavior for the purpose of constructing a safety case for fully autonomous driving on public roads.
• Define the data sets, metrics, and comparison methods.

• Build and maintain features for full-stack QA applications (TypeScript frontend/backend, Python for non-frontend services), under the guidance of senior engineers
• Assist in designing and implementing test/integration/end-to-end frameworks and pipeline automation

• Design and implement real-time software systems in C++ to manage autonomous vehicle ride states, passenger interactions and vehicle control interfaces while ensuring optimal performance on embedded Linux systems.
• Architect and integrate mission-critical software components that process data from multiple ve...

• Perform safety analysis and define performance requirements for our motion planning and control systems as our Operational Design Domain (ODD) grows, covering different road/environmental conditions and degraded driving modes.
• Build and extend fault injection simulations to determine how quickly the vehicle must detect a...

Zoox is seeking an experienced Software Engineering Manager to lead the Service Platform team within our Ride and Fleet organization. This team plays a critical role in enabling the reliable and scalable operation of our autonomous ride-hailing service by building and maintaining the foundational...

• Product Strategy & Vision: Own the long-term vision and roadmap for the platform, aligned with Zoox Release milestones and city expansion plans. Evolve ODD control from manual, annotation-heavy workflows to scalable, policy-driven configuration.
• ODD & Plan of Record Integrity: Define the validation gates, guardrails, and traceability t...

• Design, train, and evaluate vision models that understand passengers, objects, and behaviors inside the vehicle, across detection, pose, and action recognition.
• Independently own a model or feature area end to end: curate data, define labeling guidelines, train and evaluate models, and take them through deployment.

Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime.

• Architect onboard GPU execution. Define how perception, prediction, and planning workloads share onboard GPUs, including scheduling, multi-tenancy, isolation, and deterministic latency under contention.
• Drive compute reduction. Own the multi-year roadmap to cut onboard compute per vehicle by sett...

• Focus on translating stakeholder needs into measurable requirements and test plans for radar. This includes:
• Defining and documenting the radar requirements

• Be the main point of contact between Program Management, Design Teams, Test Engineering, Supplier Quality, Manufacturing, and Risk Management for hardware NPI development, as well as sustaining engineering and failure analysis (i.e. LiDARs, cameras, sensor pods, and compute suites)
• Play a fundamental role in supporting the setting up of procedures, instructions, and processes...

• Design, prototype, and help deploy algorithms for vehicle assignment, staging, routing, and pricing
• Model the inputs to orchestration (rider demand, data-collection value, servicing needs, events, and policies) as objectives and constraints

• Lead a Team: Hire, manage, mentor, and grow a team of 4–5 Technical Product Managers, fostering a culture of ownership, rigor, and continuous improvement.
• Develop Strategy: Own the overall strategy and prioritization framework for how driving behavior clusters are defined, broken into sub-clusters, and sequenced against company milestones, and align your team's roadmaps to it.

• Set the objectives that pricing, promotions, and fleet deployment optimize against, from the weekly supply plan to real-time dispatch, so that decisions made in separate systems add up to one commercial plan.
• Partner day to day with Data Science on elasticity estimation, price effects modeling, demand a...

• Design, implement, and operate cutting-edge ML training performance optimization techniques — distributed training (data/tensor/pipeline parallelism), mixed-precision, gradient checkpointing, and GPU kernels — to scale our VLM, VLA, and Foundational models training efficiency.
• Work on RL framework and RL performance optimization for driving foundation model

• Lead the design, implementation, and operation of training performance optimizations (data/tensor/pipeline parallelism, mixed precision, gradient checkpointing, GPU kernels) to scale VLM, VLA, and Foundation model training.
• Own the technical strategy and multi-quarter roadmap for RL framework and RL performance optimi...

• Lead the design, development and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) tests and testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication.
• Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution...

• Establish strategies and methodologies to Verify and Validate the Software stack with robust test coverage
• Work cross-functionally to develop detailed Simulation test plans to validate Autonomous features