Zoox

Machine Learning Engineer

• You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like agents.
• You will work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism.
• You will contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
• You will develop metrics and tools to analyze errors and understand improvements of our systems
• You will collaborate with engineers on Perception, Planning, Simulation, and Validation to solve the overall Autonomous Driving problem.

Machine Learning Engineer – ML Agents, Planning

Platform Engineer

• Build the Zoox Training framework leveraged by all ML teams within Zoox.
• Design, implement, and operate a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
• Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.

Software Engineer, ML Platform – ML Training

Medical Billing and Coding

• Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement.
• Develop and organize our overall strategy for Onboard Behavior ML Models for generating driving plans for our autonomous vehicle. You will interface with multiple partner teams to identify opportunities for model improvements within their problem area.
• Provide technical guidance and leadership in the design and development of training models at large scale and work with partner teams on ensuring their efficient inference.
• Establish and monitor key performance indicators (KPIs) to measure the effectiveness of work packages and drive continuous improvement.
• Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed.

Manager, Onboard Behavior Encoder

Program Manager

• Identify operational improvements for the Mission Readiness function that set us up for scale
• Work cross-functionally to intake, document, and prioritize requests for process changes from a number of partner teams
• Design and document workflows focused on vehicle charging, cleaning, inspections, etc
• Provide bi-weekly status updates to key stakeholders on process improvement initiatives
• Set the vision for the Mission Readiness function and ensure success via metrics like vehicle turnaround time

Senior Program Manager – Mission Readiness Process Improvement

Data Analyst

• Analyze the current state of fleet operations to identify, size, and prioritize cost drivers and inefficiencies, using data as the primary basis for prioritization.
• Lead the operations cost control program: define the strategy and roadmap for reducing operating costs and translate it into detailed, trackable improvement plans.
• Build detailed plans for each cost-reduction opportunity by working with a wide range of stakeholders across Operations, Engineering, Data Science, Finance, and Product to define scope, owners, and timelines.
• Drive individual problem statements from analysis through resolution, ensuring that improvements are actually reflected in cost outcomes, not just process or roadmap completion.
• Identify gaps in cost visibility and build or specify tools and dashboards that give partner teams better, more self-serve visibility into the problems that are impacting cost.
• Develop and maintain KPIs and metrics that track cost performance, program progress, and the impact of completed initiatives.
• Partner with Finance and Data Science to ensure cost analyses are grounded in accurate, trusted data and that reported savings tie back to actuals.
• Clearly communicate program status, cost trends, and the impact of improvements to stakeholders and leadership.

Senior / Staff Program Manager, Operations Cost Analytics

Security Engineer

• Design, implement, and maintain secure hybrid/multi-cloud network architectures (AWS/GCP, CloudWAN);
• enforce zero-trust access controls and network segmentation across corporate, data center, lab, and edge environments;
• own and operate next-generation firewall platforms (Palo Alto Networks, Fortinet);
• drive automation and Infrastructure-as-Code (IaC) using Terraform, Python, CI/CD, and REST APIs for configuration management;
• oversee security operations including 24/7 network security monitoring, traffic analysis, threat detection;
• collaborate with team members and contribute to cross-functional security initiatives with Product Security, SRE, IT, and Software Engineering teams

Network Security Engineer

• Lead end-to-end supply chain transformation programs with a focus on SAP ERP implementations
• Define program roadmap, milestones, dependencies, and success metrics across multiple workstreams
• Drive execution across planning, logistics, order management, fulfillment systems and manufacturing
• Partner with Engineering, Product, Finance, and Operations to deliver scalable, integrated solutions
• Oversee system integrations across SAP and adjacent enterprise platforms
• Ensure high-quality, on-time delivery in a fast-paced, evolving environment
• Establish governance frameworks including status reporting, risk management, and escalation handling
• Identify opportunities for automation, efficiency gains, and process optimization across supply chain operations
• Drive adoption and change management across global stakeholders

Staff/Senior Staff Supply Chain Program Manager – Enterprise Business Applications

Electrical Engineer

• Design, develop, and test embedded software for charging and power systems of the Zoox vehicle
• Integrate supplier sub-systems into the Zoox software stack
• Create software requirements, design documentation, test plans, and other supporting documentation
• Work cross-functionally with vehicle engineers, controls engineers, software engineers, validation engineers, and other experts to ensure a seamless and highly-automated experience for the Zoox vehicle
• Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation

Embedded Software Engineer – Power Systems

• Lead and coordinate large-scale, highly cross-functional programs spanning Autonomy, Product, Infrastructure, Engineering, and Safety teams to drive measurable improvements in fleet efficiency and software quality
• Own and drive operational efficiency initiatives that span multiple engineering, field service, and operations teams — identifying bottlenecks, aligning stakeholders, and unblocking downstream execution
• Partner with System Design & Mission Assurance and other safety teams to gather and pressure-test requirements — bringing a critical lens to ensure what's being asked for is the right thing to build or prioritize
• Champion the adoption of AI and data-driven tools within operations — including building centralized, multi-source reporting systems that surface actionable intelligence from the field and feed into leadership decision-making
• Run monthly business reviews (MBRs) with a broad set of stakeholders — synthesizing ground-level signals from market leads and operational locations into clear recommendations on resources, partnerships, and priorities for leadership
• Define and track the right operational metrics — not just reporting on what exists, but actively shaping what should be measured and why
• Partner with Finance to support operational and financial planning cycles (OP1, OP2, quarterly R&O), ensuring budgets reflect operational needs accurately and efficiently
• Lead key efficiency initiatives across our L3 and robotaxi R&D fleets, including improvements in fleet utilization, time-in-autonomy, troubleshooting cycle times, and operational infrastructure
• Manage program timelines, resources, and deliverables; proactively identify and mitigate operational and programmatic risks
• Create and maintain program documentation and progress reports for senior leadership

Senior/Staff Program Manager, Verification and Validation Operations

Systems Engineer

• Architect, develop, debug, optimize, review, and test software for multiple real-time embedded platforms
• Develop and maintain board support packages for multiple platforms, including compiler, bootloader, drivers, and real-time operating system
• Build low-level frameworks, interfaces, and infrastructure to make our embedded application development faster, simpler, more portable, and more testable
• Bring-up of new embedded platforms by working with electrical engineers, suppliers, and vendors to identify and solve hardware and low-level software issues
• Contribute to all phases of the software development cycle, including prototyping, requirements capture, design, implementation, and validation

Embedded Software Engineer

Data Engineer

• Design and deploy self-healing data ingestion pipelines that automatically detect anomalies, perform schema evolution, and recover from failures without manual intervention.
• Build robust integration layers for diverse ecosystems, specifically focusing on SAP (S/4HANA, Ariba, BRIM, ME), Workday, Lever, Anaplan and Salesforce CRM.
• Develop comprehensive telemetry and automated remediation strategies to monitor data quality, latency and pipeline health in near real time.
• Ensure that data is cleaned, structured, and served in an "AI-ready" format, enabling our AI agents to query and interact with enterprise data reliably.
• Modernize our data architecture to handle high-volume, cross-functional data synchronization while maintaining strict security, compliance, and governance standards.

Senior Data Engineer – Enterprise, Data & AI

Analytics Engineer

• Lead the design and implementation of our semantic layer and data modeling strategy.
• Ensure that data from SAP (S/4HANA, Ariba, BRIM, ME), Workday, Salesforce, and Anaplan is transformed into clean, performant, and "AI-ready" datasets.
• Design and maintain a unified semantic model that provides a "single source of truth" for cross-functional stakeholders, AI Agents, Self Serve Analytics and Executive dashboards.
• Collaborate with Data & AI Engineers to structure and optimize the data that allows to query enterprise knowledge with high accuracy and low latency.
• Establish organizational standards for data modeling, version control, testing, and documentation to ensure high data quality and system maintainability.
• Implement automated testing and observability frameworks that proactively identify data anomalies and "self-heal" pipelines.
• Partner with cross-functional business leaders to translate complex operational requirements into high-impact, scalable data solutions.

Lead Analytics Engineer – Enterprise, Data & AI

• Design and implement production-grade LLM applications, managing the full stack framework from data ingestion and vector database integration to prompt engineering, fine-tuning and model evaluation.
• Build and deploy sophisticated intelligent agents capable of complex reasoning, secure tool usage, and autonomous execution of multi-step business workflows.
• Own the deployment process, including self-healing systems, latency optimization, cost management and robust performance monitoring and alerting in a large-scale enterprise environment.
• Partner closely with cross-functional teams (Legal, Finance, HR etc.) to identify operational bottlenecks and translate them into efficient, code-driven AI automation.
• Implement rigorous standards for security, data privacy and accuracy, ensuring the AI framework to integrate seamlessly with existing corporate infrastructure.

AI Engineer – Enterprise, Data & AI

Frontend Engineer

• Own and architect backend services (FastAPI) for the HD Mapping team's web infrastructure
• Support development of frontend tools for interacting with Zoox’s maps (TypeScript, React, MUI, Deck.gl)
• Automate complex pipelines and workflows
• Mentor team members on web technologies and distributed systems
• Establish guidelines and refactor existing code to follow best practices

Senior Full-stack Engineer – Mapping Web Services

SDET

• Support the build and operation of a CI environment for Airlines on a new MFG test asset - running automated test runs against physical hardware for either the GA line or FRU re-bringup flow, validating test content and catching regressions before they hit production.