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Evolve Zoox’s hardware design language and strategy, applying first-principles thinking to redefine the future of the robotaxi.
Oversee the entire product lifecycle from concept to production, ensuring design integrity and high-quality execution.
Partner with engineering, UX, and product teams to deliver innovative, cohesive, and technically feasible solutions.
Manage studio resources, budgets, and hiring while refining design processes and internal culture.
15+ years of experience in automotive or relevant industrial design environments.
5+ years leading and developing design teams.
Proven track record delivering production vehicles and/or complex hardware products from concept to launch.
Strong experience managing studio workflows, design processes, and cross-functional collaboration.
Exceptional communication and storytelling skills, with experience presenting to executive leadership.
A deep passion for design craft, team development, and creating meaningful, future-forward products.
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The Staff Safety Planning Manager will lead planning, implementation, and execution for safety program initiatives across Zoox teams, and drive the continuous improvement and scale of our safety data collection and assessment, risk management, and decision-making processes. You and your team will be responsible for spearheading development and implementing effective customer-focused and corporate-focused safety processes commensurate with Zoox’s safety innovative leadership.
As the Staff Safety Planning Manager, you will define and implement innovative processes that are rigorous, diligent and systematic as Zoox continues to scale. Leveraging AI tools and automated data systems, you will continually improve our internal safety processes, including our Robot Self-Reporting, Safety Management Systems approach, Rules of the Road, Industry Standards, Anonymous Reporting, and Assessment activities. This role will work closely with our Legal, Policy, Operations, Vehicle Engineering, Systems Design, Software, Program Management Office, and Communications teams to ensure a rigorous, disciplined, risk-based approach.
A successful candidate will be able to support other Zoox safety efforts including Operational Safety, Regulatory Compliance, Policy, and Design activities.
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We are seeking a Staff Vehicle Safety Integration Engineer to architect next-generation occupant protection systems for our electric and autonomous fleet. In this high-impact role, you will lead the technical strategy for global safety performance, bridging the gap between high-level requirements and physical validation. You will drive the cross-functional alignment of structures and restraints, ensuring our vehicles exceed the world’s most rigorous safety standards while redefining protection for the age of autonomy.
We are looking for a seasoned technical leader who is deeply passionate about the unique safety challenges posed by autonomous mobility. You should be an expert at bridging the gap between CAE simulation and physical testing, with a sharp eye for data-driven insights and a commitment to mission-critical reliability. If you’re eager to leverage your expertise in global safety standards to redefine protection for the autonomous era, let’s build the future together.
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The Zoox Design Team is a collective of visionaries and makers who believe in the transformative power of exceptional design. Our focus is on advancing mobility for all through cutting-edge technology, thoughtful design, service, and brand values. We are driven by a commitment to balance and harmony, aiming to delight individuals while making a meaningful impact on society as a whole. By joining our team, you’ll contribute to shaping the future of Zoox autonomous mobility by embracing these guiding principles.
As the Sr. Manager of Design, you will lead multiple teams of talented designers including Customer Experience Design, as well as Operational Tools & Service Design. Our operational and internal tools require your leadership in creativity, analytical, visualization, and prototyping skills, and knowledge of user-facing solutions to build internal tools that assist and accelerate our operations teams in running the service. For our experience and service design domains, you will lead the teams to build the best product experiences, launch innovative features, and do so with a customer-centered approach.
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Execute the PCP metrics pipeline, assessing how hardware updates across various sensors impact PCP performance sensitivity in 3D scene understanding, live mapping and localization, especially in adverse weather and winter conditions.
Design and run structured A/B testing experiments, including side-by-side custom mount runs and tandem vehicle data collection, to clear sensors for the winter ODD.
Collaborate with AHE to correlate sensor-specific lab tests (e.g., heater/defroster impacts on camera lenses, snow accumulation on radomes) to downstream PCP performance.
Root cause detection regressions to understand how early fusion models compensate for modality degradation in challenging environments.
Design & develop performant and efficient multi-sensor fusion model to leverage the complementary advantage of on-board (low cost) sensors to improve Perception performance for highway and adverse weather.
Strong C++ and Python for running and modifying PCP metrics pipelines, automated testing, and re-simulations.
Experience with A/B testing methodology (RBV - Risk Balanced Verification) for evaluating hardware/software changes in varied environments.
Familiarity with diverse perception outputs and how environmental factors (like snow or fog) degrade bounding box precision/recall, point clouds, and 3D occupancy.
Ability to define complex data collection plans for winter ODDs (e.g., specific snow types, ice, low temperatures).
Experience with designing, developing and deploying multi-modality fusion based Perception models for 3D object detection, 3D segmentation & occupancy, Mapping and Localization.
Experience in performance optimization to fit complex ML stack to low-power low cost edge compute (e.g., Nvidia Thor, TensorRT optimization).
Experience with designing better sensor or better ML model for an anomaly or rare event/objects detection
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At Zoox, our Logistics and Service Operations teams build the scalable, efficient processes that keep our autonomous fleet moving. As our Senior Service Parts Forecasting Manager, you will drive proactive parts availability across all service centers—ensuring the right components are exactly where they need to be, before they are ever needed. You will build and own the forecasting systems, data models, and planning processes that maximize fleet uptime, mitigate supply chain risk, and enable Zoox to scale with confidence.
Joining a passionate team at the intersection of logistics, data analytics, and fleet operations, you will be given significant autonomy. This role offers a unique opportunity to establish a best-in-class forecasting discipline from the ground up within one of the most innovative companies in the mobility space.
Own the spare parts demand forecasting model using consumption data, telemetry, and failure trends to develop proactive replenishment plans that minimize fleet downtime.
Build predictive planning dashboards and track KPIs (forecast accuracy, parts availability) to monitor inventory health and present actionable insights to senior leadership.
Identify supply risks (lead time changes, EOL parts, shortages) and provide accurate long-range demand signals to suppliers to drive mitigation strategies.
Partner cross-functionally with Engineering, Fleet Operations, and Supply Chain to incorporate vehicle changes and new parts into the demand plan.
Drive alignment on inventory investment decisions, balancing high service-level attainment against working capital efficiency.
Bachelor's degree in Supply Chain, Industrial Engineering, Data Science, Business Operations, or a related field.
5+ years in demand forecasting, inventory planning, or supply chain analytics within a service parts or aftermarket environment.
Proficiency in statistical modeling, time-series analysis, and predictive analytics applied to spare parts or MRO inventory.
Strong data analytics skills (SQL, Python, R, or equivalent) to build and maintain forecasting models from complex datasets.
Experience with ERP and inventory management systems (SAP preferred).
Exceptional cross-functional collaboration skills, with the ability to translate complex analytical outputs into executive-ready recommendations in a fast-paced environment.
Master's degree in a related field and/or industry-recognized supply chain certifications (APICS CPIM, CSCP, or equivalent).
Experience in the automotive, autonomous vehicle, or aerospace industries, particularly supporting high-mix, low-volume parts or new city launches.
Familiarity with machine learning techniques for demand sensing and experience with advanced planning systems (Kinaxis, o9, Blue Yonder, etc.).
Proficiency in data visualization tools (Tableau, Power BI, Looker) to enhance reporting and inventory health dashboards.
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At Zoox, we are developing a purpose-built autonomous robotaxi, and the Sustaining Engineering team plays a critical role in ensuring the long-term reliability, safety, serviceability, and availability of our fleet as it operates at scale.
As a Sustaining Engineer supporting Powertrain and Thermal Systems, you will independently own sustaining engineering for key subsystems supporting both the in service fleet and vehicles in current production. You will drive root cause investigations and corrective actions, making subsystem-level technical decisions and leading changes through design, validation, release, and fleet implementation.
This role requires close collaboration with Vehicle Development, Manufacturing, Service, Quality, Reliability, and Suppliers in a fast-paced and often ambiguous environment. You will prioritize work based on fleet and production impact, delivering solutions that improve safety, durability, fleet uptime, and manufacturing performance.
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We are seeking a highly versatile Sensor & Hardware Safety Engineer to bridge the gap between rigorous hardware reliability and real-world system behavior. In this hybrid role, you will be responsible for 50% hardware-level Functional Safety (ISO 26262) and 50% system-level sensor safety (SOTIF / ISO 21448). You will ensure that our custom hardware meets strict ASIL compliance while guaranteeing our advanced sensor suites (Cameras, LiDAR, Radar) operate safely through perception edge-cases and environmental challenges.
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Zoox is looking for a technical program manager to support our test development efforts to respond to New Product Introduction (NPI). In this role, you will work cross-functionally across test, manufacturing, software, vehicle engineering, and our supply chain procurement team. You will take on the role of a driver and organizer to ensure production intent changes are validated and ensure readiness for the manufacturing line. You will develop project schedules, identify risks, and drive internal and external teams to meet deliverables.
The Test and Diagnostics Engineering (TDE) team is responsible for test solutions from “chip” to “car” to “care”. Our product responsibilities range from the sensor stack, control boards, compute units, to the autonomous platform. This role is focused on ensuring our test solutions are ready for production across all these phases and product lifecycles.
Zoox is a fast-paced environment, and we expect our TPMs to seamlessly switch between the technical and project management aspects of this role.
Own the roadmap for NPI on the manufacturing line. This will need close work with the cross-functional leadership teams to plan and organize cut-ins for software and hardware changes slated for the Zoox robotaxi for NPI.
Define, drive, and develop key KPIs for introducing hardware and software changes to the Zoox robotaxi on the manufacturing line.
Establish timelines and drive deliverables cross-functionally to minimize impact to manufacturing operations.
Coordinate with hardware and software engineering, logistics and supply chain, manufacturing operations, and the test team to source, validate, and plan cut-ins to the line.
Highlight risks and clearly communicate to stakeholders, and continuously evaluate schedule impact.
Own the planning for demand and retrofit planning, incorporating a schedule for trials and validation.
BS or MS in engineering (electrical/electronics, computer hardware, software, or related fields)
8+ years of industry experience in a similar role spanning project management and engineering. This role requires technical expertise in conjunction with strong project management skills.
Experience driving complex projects in a cross-functional environment with competing priorities.
Excellent communication skills across diverse audiences (senior management, engineers) using written and verbal methods as appropriate.
Strong expertise in common tools for project management - Jira, Google Suite (spreadsheets, slides), planning tools such as Gantt charts
Previous experience in a similar NPI role in electronics or automotive manufacturing.
Aptitude for learning new skills and technologies, for example, using AI to automate and simplify KPI calculations and reporting.
Ability to distill complex technical information into clear messages for the audience
Track record of managing complex projects at other autonomous vehicle companies.
Familiarity with data analysis - knowledge of programming (Python or similar) and data analysis/extraction (SQL, Looker) are definite pluses.
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Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development.
We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines.
This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred.
Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines
Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors
Improve the ML training pipelines supporting the autonomous behavior org
Bachelor’s degree in Computer Science or related field and 6+ years of industry experience
Experience optimizing large-scale distributed systems for cost and efficiency
Experience with AWS or similar providers
Proficiency with Python and familiarity with C++
Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective
Background in algorithmic optimization or performance investigation
Experience with Ray.io, particularly Ray Core and Ray Data
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Design behavioral and motion planning algorithms to improve driving behavior in new geofences and implement those designs in our code base.
Adapt existing algorithms and software modules for autonomous driving in new geofences.
Integrate and test your developed applications in the robot, learn, and make improvements.
Work collaboratively with cross-functional teams to support the integration and validation of software components and features for geofence expansion.
Support or lead vehicle testing to generate actionable feedback on driving performance.
Write and file patents for novel technologies you develop.
Master's degree in Computer Science or related field and 3+ years of experience
Proficient in C++ programming
Proven experience in at least one of the following domains: behavioral planning, motion planning, or mission planning for autonomous vehicles
Experience with behavioral and motion planning for high-speed autonomous driving
Experience with autonomous robots and machine learning or data-driven development processes
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Zoox is building the future of transportation. To do that, we’re also building an incredible crew—united by our mission, energized by our values, and driven by our purpose. We are looking for an experienced Software Engineer to join our Vehicle Experience team.
Zoox isn’t an updated car–it’s a whole new form of transportation–designed for AI to drive, and humans to enjoy. In this role, you will design, develop and optimize the software that powers a unique and premium vehicle experience to delight our riders.
The Vehicle Experience team is primarily responsible for the software that manages the ride state and orchestrates the rider experience–audio, lighting, vehicle controls and even the infotainment tablets. The on-vehicle software is authored in C++ and sits at the nexus of all the systems a rider sees and touches and as such, runs on the vehicle under resource constraints. This team delivers select features end-to-end, including writing backend cloud services.
The person in this role will be working on impactful projects like improving the vehicle mission handling as we add new autonomous capabilities, personalizing the vehicle experience to the rider’s preferences and providing situational awareness so the rider feels safe and informed, while consistently working to raise the performance, reliability and quality bar. In short, this position will be implementing and orchestrating some of the most highly visible features in-vehicle.
Design and implement software systems in C++ to manage autonomous vehicle ride states, passenger interactions and vehicle control interfaces while ensuring optimal performance on Linux systems.
Implement backend cloud features to support Vehicle Experience features end-to-end.
Integrate mission-critical software components that process data from multiple vehicle sensors and systems, implementing robust error handling and failsafe mechanisms while adhering to automotive-grade safety standards.
Participate in technical design reviews, establish coding standards and mentor junior engineers in best practices for embedded systems development, including memory management, and system optimization.
Analyze system performance metrics and telemetry data to optimize software efficiency, troubleshoot issues, and make data-driven decisions for improving ride management systems.
Partner cross-functionally with vehicle software teams, cloud engineers, Product Management, Technical Program Management, UX Design, Quality Assurance and Feature Integration teams to deliver integrated solutions that advance our autonomous vehicle technology.
MS/BS in Computer Science, Engineering or related field with 2+ years of software development experience
Strong expertise in modern C++ development on Linux systems and backend cloud systems
Experience with modern software development practices (Git, CI/CD, code review), automated testing and validation methodologies and cross-team collaboration in large, complex software projects
Excellent problem-solving skills with the ability to analyze requirements and propose technical solutions, document technical designs and decisions and debug complex system-level issues
Track record of building user-centric product software, collaborating with Product Management and UX designers and ability to translate UX requirements into technical implementations
Knowledge of robotics, automotive or embedded systems software development, including real-time constraints and hardware interfaces
Hands-on experience with Data Distribution Service (DDS) middleware in production environments, including performance optimization and fault tolerance
Proficiency with distributed systems in Java, Kotlin or Python
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Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential.
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The Supplier Quality Engineer will play a key role in ensuring world-class performance of the Zoox prototype and production supply base, and drive continuous improvement. The ideal candidate will be entrepreneurial, driven, energetic, detailed, and team-oriented.
Candidates with experience in Automotive, Interior and Exterior components/subassemblies such as - Seating systems, A class surface parts with gloss and color requirements, further heaving a good understanding of mfg. processes such as Injection & Blow Molding, Sheet metal forming are highly preferred
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The Field Safety Specialist (FSS) will be responsible for on-the-ground operational and field safety initiatives for East Coast operations, including Washington, D.C., Atlanta, GA, and new cities as needed. This role requires availability for 2nd and 3rd shift rotations, weekends, and holidays, as well as quarterly travel between sites.
You will be responsible for spearheading development and implementing effective customer-focused safety processes commensurate with Zoox’s safety innovative leadership. Additionally, the FSS is expected to drive the continuous improvements of our Robotaxi operations through the lens of safety.
As the Field Safety Specialist, you will continually evaluate field safety operations to define and implement processes that are repeatable across different vehicle platforms and locations to ensure the highest level of safety in operations. You will continually improve our lessons learned from operations and incidents, including working closely on complex issues with our Fleet Operations, Vehicle Engineering, Software, Hardware, and Legal teams to ensure a rigorous, disciplined, risk-based approach.
The role will involve collaborating primarily with the East Coast operations teams and Corporate Operations Teams, EHS & Legal, and Security personnel. The successful candidate will be able to support other Zoox safety efforts, including Operational Safety, Safety Planning, Policy, Design, and Risk Assessment activities.
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About Zoox
Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do.
About Our Internship Program
Zoox’s internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission.
About the Role
Zoox is looking for a Platform Intelligence Intern to design and ship production-ready AI products for our internal platform. Today, internal users navigate multiple systems and disconnected data sources to answer everyday questions about operations, performance, and reliability. Your mission is to collapse that friction into a single, intelligent experience — one that surfaces the right metrics, predicts issues before they escalate, and answers questions in natural language. This is a hands-on, build-focused internship with definitive deliverables and measurable impact on how Zoox teams work every day.
You will own end-to-end delivery of three connected products on the internal Zoox platform:
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About Zoox
Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do.
About Our Part Time Student Worker Program
Zoox’s program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek part time student workers who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission.
Project Overview
Zoox's Cartography team is responsible for building, curating, and maintaining high-definition road networks. This includes expanding our geofence, validating the accuracy of annotated data, and responding to “world change” events to ensure our maps remain up-to-date.
As a Labeling Technician (3-month contract), you'll play a key role in creating and validating semantic road network data, ensuring map content aligns with real-world geometry, and collaborating with cross-functional teams to maintain the integrity of our mapping system. We're looking for detail-oriented, analytical students who excel at precision work and can thrive in a fast-paced, collaborative environment.
$30 per hour.
This is a contract position and employment for this position will be through a vendor contracted through Zoox. The hourly range is posted and you will be eligible for a benefits package as offered by the vendor
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B.S. or M.S. degree in Electrical Engineering or related technical field
8 to 12 years of experience in automotive OEMs, robotics, aviation, or other complex hardware systems within manufacturing, product engineering, or sustaining environments
Strong understanding of vehicle electrical systems, wiring harnesses and connectors, control units, compute, and sensor hardware
Proven experience leading root cause analysis and corrective actions in production, manufacturing, or field environments, including new product launch support
Strong cross functional communication and problem solving skills with the ability to operate effectively in a fast paced environment
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At Zoox, we're not just building self-driving cars; we're creating an autonomous ride-hailing service that will revolutionize how people move.
We are looking for a Software Engineer to join our Mobile Applications Engineering team. In this role, you will help build and scale our Android application, contributing to product features that directly shape the future of Zoox’s rider experience. You will work closely with senior engineers to establish robust, usable, and secure interfaces that connect our riders to our autonomous fleet.
We're designing and building everything from the ground up — the vehicle, the software, and the systems that keep it all running safely at scale. If you want to work on hard problems that matter, Zoox is where that happens.
Contribute to the engineering design and implementation of product features for our Android mobile application.
Develop scalable, high-performance Android components using modern technologies and frameworks.
Collaborate closely with other engineering teams across Zoox’s client, cloud, and vehicle stack to design innovative, end-to-end solutions.
Partner with design and product teams to create intuitive, efficient, and seamless rider experiences, ensuring smooth data flow from the server to the user interface.
Iterate on rider-facing features to solve real-world challenges in autonomous vehicle ride-hailing.
1+ years of relevant experience, with a BS / MS in Computer Science or a related field.
Deep expertise as a Kotlin Specialist, with strong proficiency in modern Android development (Jetpack Compose, MVVM architecture).
Experience working with RESTful APIs and basic understanding of networking protocols.
Experience working cross-functionally with engineering, product, and design teams to drive features from concept to launch.
Experience working with Kotlin Multiplatform (KMP) to share business logic between mobile clients.
Effective at leveraging agentic AI development tools to accelerate workflows.
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At Zoox, we are building the future of autonomous mobility at scale. As we transition from development into industrialization and production growth, we are seeking a strategic procurement leader to build and lead our CAPEX & Tooling sourcing organization.
This role will own the commercial strategy, supplier partnerships, and team leadership across factory capital infrastructure, manufacturing equipment, and production tooling. The scope includes procurement for factory CAPEX, automation systems, assembly equipment, and direct tooling for vehicle sub-assemblies and components.
This leader will play a critical role in enabling Zoox’s manufacturing footprint and future production scale-up, ensuring world-class supplier partnerships, robust commercial governance, and scalable cost structures.
This is a highly cross-functional leadership role that will partner closely with Manufacturing, Engineering, Supply Chain, Quality & Reliability, Finance, and Operations.
Team Leadership & Organization Building
Build and lead the CAPEX & Tooling Procurement organization, including hiring, mentoring, and developing a high-performing team of Strategic Sourcing Managers.
Partner with Manufacturing and Engineering leadership to inform factory design, production readiness, and industrialization roadmaps.
Establish scalable processes, procurement governance, and operating cadences tailored for a rapidly growing manufacturing organization.
Strategy & Execution
Develop and execute the sourcing strategy for factory build-outs, production equipment, automation, and manufacturing infrastructure.
Oversee the sourcing and supplier strategy for all factory, production and sub-assembly tooling, including robots, stamping dies, casting tooling, molds, and assembly fixtures.
Develop long-term sourcing roadmaps that enable new production launches, capacity expansion, and localization efforts.
Commercial & Supplier Management
Lead complex commercial negotiations, including master agreements, tooling contracts, SOWs, and pricing frameworks.
Establish and enforce robust governance across cost control, milestone adherence, engineering changes, supplier quality, and risk mitigation.
Build and maintain strategic relationships with key automation, tooling, and equipment partners.
Drive total cost of ownership (TCO) modeling, should-cost analysis, and cost transparency initiatives.
10+ years of strategic sourcing, procurement, supply chain, or commercial leadership experience. Ability to operate effectively across engineering, quality, operations, finance, and executive leadership
5+ years of people leadership experience, including leading and developing sourcing teams
Significant experience leading CAPEX procurement and tooling sourcing within a manufacturing environment.
Demonstrated experience supporting the build-out or launch of a production factory, plant, or major manufacturing line. Proven experience sourcing and negotiating for production equipment, automation systems, assembly lines & tooling
Strong commercial acumen with expertise in complex contract negotiation and supplier governance. Experience managing large-scale supplier relationships and multi-million dollar capital programs
Experience supporting greenfield factory builds or major production expansion programs
Strong preference for experience in automotive, EV, autonomous systems, aerospace, industrial manufacturing, other complex hardware production environments
Experience building procurement functions, category strategies, and operating processes from the ground up
Familiarity with tooling lifecycle management, tooling amortization structures, and ownership agreements
MBA or advanced technical / supply chain degree preferred
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You will manage a team of firmware, software and systems engineers delivering high-impact designs across multiple vehicle compute platforms.
Your team will work across the entire life cycle of the project, from initial project feasibility studies to product rollout and ongoing support.
You will work closely with our hardware and electrical engineering, power, vehicle systems integration, safety, firmware, production software, and autonomy teams.
You will also work with external automotive providers, tools, and library vendors to select appropriate solutions to meet our engineering needs.
You will represent the Software Platforms and Product organization on various internal technical and product boards.
10+ years of engineering experience, with 5+ years of engineering management experience.
Hands-on experience with firmware engineering, including design, bring-up, feature development, deployment and ongoing support.. Can work comfortably with hardware and electrical engineering teams, including design input, schematic review, and requirements development.
Automotive or safety-critical software/firmware development experience (e.g. ISO 26262), including participating in HARA and FMEA processes.
C and C++.
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The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems.
As an engineer on the Localization team, you will be a key contributor to Zoox’s online pose estimation systems. This role focuses on improving the ML systems that utilize cameras for Localization. You will design, train, validate, and integrate computer vision models into the online software system. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.
Research, implement, and train ML models to perform vision based localization
Curate datasets for model training and validation
Closely collaborate with validation teams to formulate and execute model validation pipelines
Integrate models into the greater onboard autonomy system within compute budgets
Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions
MS plus 7+ years in Computer Science or related field
Experience in computer vision based pose estimation
Experience with training and deploying deep learning models
Experience with with Python libraries (pytorch, numpy)
Experience with C++
Experience with SLAM systems which incorporate ML models
Experience in robotics or autonomous systems
Experience with CUDA and/or GPU programming
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As a Technical Lead on Zoox's internal agentic platform, you will own end-to-end integration of a tool-centric agent runtime with external and internal agent clients, line of business backends, scheduled and interactive agent workloads, and cloud operations (Kubernetes, observability, secrets management). You will translate architecture and security intent into stable tool contracts, testable integration milestones, and repeatable releases, and you will be the primary engineer when issues sit at the boundary between product surfaces, platform services, and upstream systems.
This role is platform and service integration for an agentic framework that mediates tools (discovery, invocation, policy, and telemetry). Success is measured by reliable tool call paths over HTTP, correct authentication and scoping, environment parity from dev through production, and clear ownership across partner engineering, security, and infrastructure teams.
Own and lead integration strategy and execution across hosted services, shared libraries, standardized tool protocols (e.g., JSON-RPC over HTTP), REST APIs, and diverse callers (vendor agents, consoles, automation workers).
Drive cross-functional delivery with backend API teams, partner agent owners, security, SRE/platform, and program management, ensuring formal sign-off where required.
Debug and root-cause complex failures using structured logs, distributed traces, metrics, and gateway/session-token behavior, documenting durable mitigations and runbooks.
Define and review all integration artifacts (contracts, allowlists, registry config, environment matrices, and interface assumptions) that upstream and downstream teams implement against.
Contribute to release gating by ensuring container image promotion, configuration/secrets posture, smoke path execution for high-traffic flows, and disciplined branching/tagging for production intent
BS or MS in Computer Science or a related field with 7+ years of software engineering experience, strong in integration, platform, or backend roles.
Strong Python (production services, async I/O, automated testing) and comfort in a large monorepo with CI-driven delivery.
Deep experience with HTTP integration (REST/JSON-RPC, TLS, debugging under load) and shipping services on Kubernetes (deployments, health checks, troubleshooting).
Auth integration experience: bearer tokens, JWT validation, OAuth2/OIDC or enterprise SSO concepts, and least-privilege scoping
Exposure to Model Context Protocol (MCP) or similar agent tool-calling and orchestration models used in industry or internal platforms.
Observability-led integration habits: metrics, traces, structured logging, and basic SLO or dashboard thinking for integration health.
Background in security-sensitive integrations (data minimization, external partner access, review cycles with security or compliance).
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Create test strategies and test plans for Zoox’s self-driving behavior features.
Identify, track, report, and resolve test strategy, planning, or implementation issues with cross-functional software development teams
Propose, prototype, and validate a new testing methodology for driving software features using automated metrics.
Design, develop, and execute synthetic and log-based test scenarios on an in-house simulation test framework
Compile triage strategy and triage results from different QA validation platforms and pipelines
Lead cross-functional QA participation in various testing pipelines, initiatives, and enablement projects.
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Architect and optimize scalable systems: You will design, implement, and continuously improve highly reliable infrastructure, directly impacting the success and safety of Zoox's autonomous vehicle platform.
Build proactive monitoring solutions: You will develop advanced monitoring, alerting, and reporting tools to ensure potential issues are identified and resolved before they affect production.
Collaborate across engineering: You will partner closely with software engineering teams to elevate our system architecture, streamline deployment processes, and drive automation initiatives.
Lead incident resolution: You will conduct thorough root cause analyses on production issues and rapidly deploy corrective actions to maintain a resilient and stable environment.
Ensure business continuity: You will safeguard the company's operations by designing and implementing robust disaster recovery plans to keep the Zoox fleet running smoothly under any circumstances.
SRE & Distributed Systems Experience: 5+ years of experience in site reliability engineering or a similar role, with a strong, objective background in managing large-scale distributed systems.
Cloud & Infrastructure as Code (IaC): Proven experience operating within major cloud platforms (AWS, GCP, or Azure) and utilizing IaC tools like Terraform, Ansible, Salt, or CloudFormation.
Container Orchestration: Technical expertise in deploying, managing, and scaling systems using container orchestration technologies such as Kubernetes.
Core Infrastructure Knowledge: Deep, foundational understanding of networking protocols, storage solutions, and database technologies.
Programming Proficiency: Strong, demonstrable programming and scripting skills in languages such as Python, Go, C/C++, or Java.
Experience in the automotive or autonomous vehicle industry.
Knowledge of security best practices and compliance requirements.
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We are seeking highly motivated engineers who thrive on solving complex, real-world challenges and driving technical initiatives end to end. In this role, you will serve as a technical lead within a diverse, collaborative team focused on building scalable HD mapping algorithms, systems, and data pipelines.
As a Machine Learning Engineer on the Perception HD Mapping team, you will play a key role in advancing our 3D mapping capabilities. High-definition 3D maps are foundational to achieving fully autonomous driving, enabling safe and reliable navigation at scale. Your leadership will be instrumental as we accelerate the expansion to new cities and significantly increase the speed and frequency of map updates, ensuring our mapping infrastructure scales efficiently with growing operational demands.
Design and develop novel algorithms and ML models for 2D/3D machine perception and mapping in real-world environments
Contribute to large-scale, automated mapping pipelines
Be a technical leader on the team, maintaining coding and ML development best practices and making architectural decisions
Help to set the vision for the team and build out technical roadmaps
Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Planner, Simulation, Data Science, and more
Drive the use of metrics and tools to guide development, validate algorithms, and measure progress
MS or PhD or equivalent experience (7+ years) in Computer Science or related field
Experience in computer vision or robotics
Experience with training and deploying deep learning models
Proficiency in Python and/or C++
Experience leading cross-functional projects
Experience with high definition (HD) maps
Experience with 3D computer vision, 3D reconstruction, or SLAM
Experience with geospatial data and coordinate systems
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As a machine learning engineer within the Attributes team in the Perception department, you will take ownership of developing and enhancing sophisticated behavioral models for various road users, including vehicles, pedestrians, and cyclists. Your work will focus on creating and maintaining robust perception attribute models that generate critical signals for our autonomous driving stack. These signals are essential inputs that enable our Prediction and Planning teams to make intelligent, safe driving decisions for our autonomous vehicles.
Create and maintain perception attribute models that generate essential signals, enabling our autonomous vehicles to understand and predict the behavior of various road users.
You will collaborate closely with Prediction and Planning teams to optimize your models' outputs, directly influencing how our autonomous vehicles make real-time driving decisions.
Work with data labeling and ontology teams on data labeling and ontology definitions of the road users in different attributes and generate auto-labeling or data mining strategies for different attributes.
You will help shape the future of autonomous mobility by bridging the critical gap between raw perception data and autonomous decision-making.
MS/PhD in computer science or related fields with a minimum of 7 years of relevant experience
Experience with training and deploying Deep Learning models
Experience with knowledge distillations from large foundation models
Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
Fluency programming in Python and extensive experience with algorithm design
Strong mathematics skills
Familiarity of VLMs/VLAs/ViTs
Experience with large model distillation in a production environment
Familiarity with C++
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Develop assembly sequences and layout detailed process steps.
Execute line balancing studies to achieve production targets and optimize station cycle times.
Manage and perform engineering line trials to ensure rapid implementation with minimal disruption to the assembly line.
Provide critical feedback during design reviews for future programs to improve manufacturability, tool access, and ergonomics.
Act as a primary point of contact for troubleshooting complex design, process, and quality issues on the line.
Develop and maintain 100% accurate step-by-step assembly guides for all stations using tools like Dozuki/Oxygen
Act as a technical leader, sharing knowledge and guiding junior engineers through complex technical challenges.
Education: Bachelor’s or Master's degree in an engineering discipline (Mechanical, Automotive, or Aerospace preferred).
Experience: 8+ years of experience in manufacturing operations or automotive OEM environments, with a proven track record leading technical projects at a Senior or Staff Engineer level.
Technical Expertise:
Proficiency in 3DX/CATIA/Delmia for virtual builds and process planning.
Line Balancing experience
Deep understanding of GD&T, dimensional variance analysis, and metrology.
Familiarity with torque tools (Atlas Copco) and fastening processes.
Experience with Closures Systems (ie Doors, Glazings, and Dynamic Sealing Systems)
Methodologies: Knowledge of Lean Manufacturing, PFMEA, 8D Problem Solving, and MODAPTS
Certifications: Six Sigma Black Belt or Green Belt Certification
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As our Staff Engineer for Lighting, you will lead the development of our exterior and interior lighting systems. You will own everything from lamp assemblies and system controllers to their seamless integration into a brand-new vehicle architecture, directly advancing our mission to make cities safer, smarter, and more sustainable.
You will own these critical systems from initial concept straight through to the start of high-volume production. Operating in a lean, agile environment, you will serve as our technical expert, directing in-house engineering efforts and driving key relationships across our supplier network. If you are ready to leverage your engineering expertise and communication skills to disrupt a traditional industry, we want to hear from you!
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Support vehicle operators in day-to-day operations, upholding a safety-centric, inclusive, and open communication culture.
Complete all administrative tasks concerning team management, including, but not limited to, timesheet approval & schedule validation, and conduct written and oral performance feedback with direct reports at regular intervals. Engage with contractors assigned to Zoox to answer questions, provide information, and ensure they understand and execute their job assignments.
Manage daily warehouse operations within multiple facilities, including receiving, kitting, and cycle counting.
Work closely with other Team Leads and Program/Project Managers within Vehicle Operators to ensure their team stays aligned with Zoox’s overall goals.
Develop a strategy for making sure all our materials are delivered on time to our internal customers at the most efficient cost during a high-growth environment. You will also support the monitoring and management of budget forecasting and performance against the forecast.
Develop and implement the safety guidelines to ensure team safety.
Travel domestically to our different service centers 40% - 50%.
Bachelors degree
8+ years of professional work experience in a product-based warehouse/logistics operations
3+ years of experience leading direct reports
Experience with Warehouse Management Systems (WMS) - SAP preferred
Experience working in a high-level collaborative environment and promoting a teamwork mentality
Excellent driving history, and ability to lead and commute to different warehouse locations – must be flexible
Experience working with SAP (S4 Hana highly preferred)
Experience in automotive/fulfillment operations
Autonomous vehicle industry
Experience working with cross-functional teams in an NPI environment on go-to-market initiatives
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The Staff Compensation Manager plays a critical role in shaping and advancing the organization’s compensation strategy to support business growth, scalability, and talent outcomes. This role is responsible for leading executive (M5+) compensation, driving strategic compensation programs, and developing market-informed approaches that enable the company to compete effectively across geographies and talent segments.
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The Compensation Analyst plays a critical role in ensuring that the organization’s compensation practices are applied consistently, competitively, and fairly, while aligning with business and strategic goals. Responsibilities include evaluating positions using job evaluation methodologies, determining market pricing and salary ranges, and building tools to analyze and visualize compensation data.
This role supports the evaluation of employee pay by assessing internal equity, external competitiveness, and performance. In addition, the Compensation Analyst partners with HRIS to ensure data accuracy and seamless integration with compensation processes. The role supports the HR function by ensuring seamless integration of data analysis and insights.. The analyst is also responsible for developing and iterating on data analytics, reporting, and insights across People and Compensation data, as well as participating in compensation surveys.
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We are seeking a Senior Director of Talent Acquisition to architect our global scaling strategy and lead a high-performing, 50+ person cross-functional organization.
As a key member of the People Experience (PEx) leadership team, you will oversee the end-to-end talent lifecycle (from early career to executive search) ensuring our recruitment engine is a high-performance, scalable ecosystem. In this role, you will leverage innovative technology and visionary leadership to ensure our talent acquisition strategies remain as cutting-edge as our autonomous technology.
Team Leadership: 15+ years of TA leadership experience, including 3+ years at the Senior Director level leading organizations of 50+; proven expertise in a 'leader of leaders' model, managing 5+ direct report managers to drive high-performance cultures.
Strategic Execution: Extensive experience developing and executing end-to-end talent strategies for top talent built on proven experience recruiting in a complex, high-growth technical environment (Autonomous Systems, AI/ML, Hardware).
Change & Operational Leadership: Data-driven decision-maker with track record designing and implementing talent ecosystems (e.g. KPIs, scorecards, and metrics) to optimize TA effectiveness; preferred experience of pioneering use of AI as a strategic lever.
Executive Presence & Influencing: Exceptional executive presence, with strong written and verbal communication skills, with the ability to influence and present to C-level executives.
Collaboration: Track record of building deep, trusted cross-functional relationships across all functional areas to drive a unified PEx strategy.
Problem Solving: Proven ability to navigate ambiguity and fast-paced environments, excelling at thinking critically to solve complex organizational bottlenecks and taking decisive action in a high-stakes, evolving industry.
Functional Expertise: Strong familiarity with the external technology talent market, with a deep understanding of emerging trends in talent acquisition and workforce planning (eg. VNDLY, Lever, Workday (WD), ServiceNow, and other industry-leading software platforms.)
Education: Bachelor’s degree in Human Resources, Business Administration, Organizational Development, or a related field.
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We are seeking a strategic and execution-oriented Logistics & Operations Planning (S&OP) Manager to build and lead our process that aligns fleet demand with manufacturing, supply chain, operations, and financial plans. This role will sit within the Logistics organization and serve as a key cross-functional integrator, ensuring that demand, supply, capacity, inventory, and cost assumptions are connected through a single planning process that enables clear decisions and disciplined execution.
This individual will establish the S&OP governance, cadence, and decision-making framework needed to align business priorities with operational capabilities. The ideal candidate will bring strong experience in planning, operations, and cross-functional leadership, with the ability to translate dynamic business needs into a scalable and effective planning rhythm.
Design and lead the company-wide S&OP process to align fleet demand, production, supply readiness, inventory, and financial plans.
Establish and run the monthly planning cadence, including demand review, supply review, scenario planning, and executive alignment.
Partner with Logistics, Manufacturing, Finance, Supply Chain, and Operations teams to maintain a single integrated view of priorities, risks, and constraints.
Drive scenario analysis and trade-off decisions related to demand changes, supply constraints, capacity, inventory, and cost.
Develop and track key planning metrics such as forecast accuracy, plan attainment, inventory health, service readiness, and cost control.
Create executive-ready communications and recommendations while driving continuous improvement in planning processes, tools, and reporting.
Bachelor’s degree in Supply Chain, Operations, Engineering, Business, Finance, or a related field.
10+ years of experience in S&OP, demand planning, supply planning, production planning, supply chain operations, or a related cross-functional planning role.
Proven experience leading planning processes across operations, finance, manufacturing, and supply chain functions.
Strong analytical skills, with the ability to translate complex data into actionable decisions and business recommendations.
Experience in manufacturing, automotive, technology hardware, or other complex operational environments.
Strong understanding of demand and supply balancing, capacity planning, inventory strategy, and cost management.
Excellent communication and facilitation skills, with the ability to influence teams and leaders across functions.
Master’s degree in Supply Chain, Operations, Business Administration, or a related field.
Experience implementing or scaling an S&OP or integrated business planning process in a high-growth company.
Experience with SAP, S/4HANA, IBP, or related ERP/planning systems.
APICS/ASCM certification, such as CPIM, CSCP, or CLTD.
Experience supporting launch, fleet operations, or new product introduction environments.
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Zoox is looking for a manufacturing test engineer to be responsible for manufacturing testing of our sensors and ECUs used in our autonomous vehicle. In this role, you will be developing automated tests for critical components, including but not limited to lidars, cameras, radars, telematics, HV modules, sensor pod accessories, etc. You will work cross-functionally with our electrical engineering and software teams to develop and test new products and technologies.
We are looking for an engineer who is curious, enthusiastic, and not afraid to embrace new technologies! Ability to work independently as well as organize work around schedules and critical deadlines is a definite plus.
Build, release & support test solutions for use on the manufacturing lines at Zoox and at contract manufacturing partners
Develop testing scripts to verify functionality, control test instruments, capture test parameters, and analyze results for continuous improvement
Implement adequate test coverage across all phases of manufacturing (PCBA, module, system, vehicle) through collaboration with other teams
Release updated test programs for new generations of hardware and software
Establish best practices and drive continuous improvement on test deployment, runtime, and yield
BS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree
5+ years of relevant experience
Strong knowledge of Python and shell (bash) scripting
Strong knowledge of testing and troubleshooting complex electronic assemblies in a manufacturing environment
Experience in developing automated manufacturing tests on Linux. Ability to debug failures using commands in the terminal
Experience working with contract manufacturers.
Familiarity with SMT testing methods
MS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree
Experience in automotive sensors, ECUs, ethernet & communication protocols such as CAN
Knowledge of pytest, unittest, or similar test frameworks
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Build real-time instrumentation for performance monitoring of the system as well as benchmarking frameworks to support offline performance evaluation.
Create performance-optimization workflows (quick iteration loops) to evaluate and analyze performance at scale.
Analyze profiling data to identify resource utilization hotspots and optimization opportunities.
Propose and co-implement actionable solutions with software component teams.
Support teams in helping to squeeze out the maximum performance of their code, while minimizing resource contention.
Hands-on experience in the development, debugging, and profiling of complex multi-process real-time systems, like game engines or robotics systems
Strong knowledge of C++ and experience in large code bases
Familiar with CPU system architecture and OS fundamentals
Good communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills
Experience using various Linux performance monitor tools, such as perf, eBPF, Perfetto
Kernel and/or driver development experience
Experience with software & hardware benchmarking and Hardware-in-the-Loop (HIL) systems
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In this role, you will be responsible for driving key strategic decisions in what could become a $10T global market for personal mobility. You will structure solutions to complex problems, perform deep data-driven analytics, generate insights, & then build cross-functional consensus among the senior management team to enable focused execution.
You will be joining a diverse group of industry leaders & makers, where team success is as important as individual contributions. If you are excited about solving difficult problems and the opportunity to help define what an autonomous vehicle can be, we want to hear from you!
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We are looking for a mixed-method Vehicle Experience Researcher, which will be the glue between the digital interface and the physical cabin experience for Zoox. This role requires a high-velocity researcher who is just as comfortable designing a complex quantitative benchmark study as they are running extensive in-vehicle testing. You will navigate the unique intersection of software and hardware, ensuring that everything of the vehicle works as a single, cohesive system.
Design and execute both qualitative and quantitative research that uncovers core user needs, behaviors, and experience patterns
Synthesize insights into clear frameworks that inform product direction
Contribute to defining principles that guide the evolution of in-vehicle experience
Move beyond individual features to map the entire end-to-end vehicle rider experience journey.
Conduct foundational research in ambiguous, early-stage product areas where the problem space is not well defined.
Design and run robust quant studies to establish experience benchmarks. You will define what "good" looks like and track our progress against those metrics as the vehicle platform and in-cabin experience evolves.
Lead a high volume of testing sessions within the vehicle to validate features.
Investigate how digital touchpoints sync with physical movements and cabin environments.
Partner closely with Product, Design, and Vehicle Engineering
Translate research findings into clear implications for product decisions
Proactively identify opportunities where research can drive impact
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