Zoox

Engineer

• Lead the Vulnerability Management Program: Strategically design, implement, and continuously mature the vulnerability scanning and management program across the enterprise, including on-premises infrastructure (servers, network devices), applications, containers, and complex cloud environments.
• Automation and Engineering: Architect, develop, and maintain robust automation pipelines to integrate vulnerability scanners with cloud APIs, asset inventory, and orchestration tools, significantly reducing manual efforts and improving data accuracy.
• Cloud and Infrastructure Security Expertise: Serve as a subject matter expert for identifying, assessing, and remediating vulnerabilities specific to both cloud and on-premises services and configurations.
• Risk Analysis and Prioritization: Continuously refine the risk-based prioritization methodology, ensuring the highest severity and most exploitable vulnerabilities are addressed first, collaborating closely with development and infrastructure teams.
• Tool Management: Evaluate, deploy, configure, and maintain advanced vulnerability scanning platforms (e.g., Tenable, Qualys, Rapid7), ensuring optimal coverage, accuracy, and integration across the hybrid environment.
• Mentorship and Documentation: Mentor junior team members, develop detailed technical documentation, and define best practices for vulnerability identification, reporting, and remediation.
• Reporting and Metrics: Define, track, and present advanced security metrics (KPIs/KRIs) and management-level reports on the overall vulnerability posture, remediation trends, and program effectiveness.
• Process Improvement: Drive measurable improvements in the mean time to detect (MTTD) and mean time to remediate (MTTR) vulnerabilities.

Senior Vulnerability Management Engineer

IT Support

• Lead the development and deployment of AI-powered platforms and tools that enhance productivity across core business functions such as Finance, HR, IT, Marketing, Procurement, and Supply Chain.
• Identify, evaluate, and implement off-the-shelf AI agents to streamline operations, reduce costs, and accelerate business processes.
• Architect and deploy enterprise-grade LLM applications (RAG, Fine-tuning, Agentic workflows) to automate complex processes.
• Act as the technical consultant for non-technical leads in Finance (forecasting), Legal (contract analysis), HR (talent matching), and Marketing (content personalization).
• Build autonomous AI agents capable of navigating multi-step business tasks with minimal human intervention.
• Collaborate with the Data Analytics team to ensure all AI deployments adhere to strict data privacy, security, and "responsible AI" standards.
• Manage the lifecycle of AI products from prompt engineering and model selection (GPT-4, Claude, Llama 3, etc.) to integration with internal APIs and databases.

AI Enterprise Architect Lead

Cloud Engineer

• Technical and Business Relationship: Maintain and manage the technical and business relationship between Zoox and its cloud providers.
• Cost Management: Understand and maintain costs associated with Zoox's cloud platforms, ensuring cost efficiency and optimization.
• AWS Best Practices: Implement AWS best practices for security, operations, cost management, resiliency, and performance across Zoox's cloud platforms.
• Cloud Center of Excellence: Establish and lead a cloud center of excellence to drive innovation, efficiency, and best practices in cloud infrastructure.
• Hybrid Cloud Strategy: Collaborate with multiple engineering teams to refine and enhance Zoox's hybrid cloud strategy.

Staff Cloud Engineer

Full-stack Engineer

• Develop and deploy scalable backend services that are reliable and fault tolerant
• Write clear, testable, modular and maintainable code. Triage and troubleshoot issues spanning various cloud services, robot, transport protocols.
• Define and implement key metrics to measure/monitor performance and reliability
• Contribute to long term architecture, technology initiatives and technical roadmap
• Work cross functionally with diverse engineering teams, Product and Program Management for successful delivery of solutions

Software Engineer – Robot Link Platform

Android Engineer

• Lead the end-to-end engineering design and implementation of major product features spanning our mobile applications and Kotlin Spring Boot backend.
• Architect and develop scalable, high-performance Android applications while simultaneously contributing to and designing robust backend microservices.
• 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.
• Shape the future of rider experiences in autonomous vehicle ride-hailing, solving real-world challenges through fullstack ownership.

Senior Software Engineer, Full-Stack Android

• Design, build, and maintain full-stack applications that power Zoox’s operational tools and autonomous ride-hailing platform.
• Develop scalable systems to monitor, support, and optimize a growing fleet of autonomous vehicles.
• Collaborate cross-functionally with product managers, designers, QA engineers, and remote operators to deliver high-impact solutions.
• Build and enhance tools for real-time fleet operations, in-vehicle visualization, and rider support.
• Ensure system reliability and performance through testing, debugging, and continuous improvement of production systems.

Full Stack Software Engineer, Operational Applications and Platforms

Machine Learning Engineer

• Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context
• Understand and curate real and synthetic datasets to improve our models
• Perform latency optimization and deploy models to our robot fleet
• Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work
• Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex driving scenarios

Machine Learning Engineer – 3D Vision Perception

• Build, pre-train, and evaluate large-scale multi-modality foundation models from the ground up, successfully aligning diverse data streams (e.g., Vision, LiDAR, Radar, Language, Audio).
• Define and execute the ML roadmap for deploying these multi-modality representations to the vehicle.
• Architect and implement Knowledge Distillation pipelines to compress large-capacity multi-modal teacher models into highly efficient, production-ready student models.
• Build high-quality training and evaluation datasets, applying advanced data-centric techniques to maximize cross-modal representation learning and student model convergence.
• Collaborate with downstream perception teams to integrate and validate the performance, robustness, and latency of your models in on-board production systems.

Machine Learning Engineer – Multi-Modality Foundation Model

• Lead the technical design and architecture of highly available and resilient IAM solutions, covering areas such as Identity Governance and Administration (IGA), Access Management (AM), Privileged Access Management (PAM), and Customer Identity and Access Management (CIAM).
• Collaborate with application development and DevOps teams to embed security best practices and streamline secure authentication/authorization patterns.
• Develop, test, and deploy IAM infrastructure and configuration using infrastructure-as-code (IaC) tools (e.g., Terraform, Ansible).
• Define and enforce standards and policies related to identity, authentication, and authorization across the entire technology stack.
• Stay current with emerging threats, technologies, and industry best practices in identity and access management.

Senior/Staff Identity and Access Management Engineer

Artificial Intelligence

• Work directly with the VP of Autonomy Software to brainstorm, define, and evaluate opportunities where M-LLMs can streamline and supercharge organizational workflows.
• Act as the strategic and technical bridge between the core M-LLM Autonomy development team and the broader AI Productivity team, ensuring alignment and sharing best practices.
• Build lightweight prototypes, scripts, or internal tools that leverage multi-modal AI to solve real-world engineering, data analysis, or administrative bottlenecks.
• Stay up-to-date on the latest advancements in LLMs, M-LLMs, and agentic workflows to propose new use cases for the autonomy software division.

Part-Time Student Worker – Applied AI, LLM Workflows

• Develop autonomous driving simulation scenario tools to author, inspect, and evaluate the performance of autonomous driving software.
• Extend a web-based front-end for 3D graphical definition of detailed autonomous driving simulation scenarios.
• Extend a web back-end to interact with simulation and autonomous driving software.

Senior/Staff Software Engineer – Simulation Scenario Full Stack

Senior Software Engineer – Simulation Scenario, Full Stack

Engineering Manager

• Develop and execute a strategic vision for our ML training platform, ensuring scalability, reliability, and performance to support large-scale Foundation and RL models.
• Lead the design, implementation, and operation of a robust and efficient ML training platform to enable the training, experimentation, validation, and monitoring of ML models.
• Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence.
• Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers to define requirements and align on architectural decisions.
• Enable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely feedback.

Senior Engineering Manager, ML Platform

Systems Engineer

• Develop, coordinate, and execute efficient simulation and structured test plans for our autonomy systems, with a focus on perception and sensor performance and how those impact the resulting system driving behavior.
• Analyze and triage pipeline results that contribute to key launch blocking metrics for software and system releases.
• Evaluate and characterize the performance of new autonomy sensors and hardware as they are integrated into the Zoox vehicle.
• Collaborate with cross-functional teams, including software developers, hardware engineers, systems engineers, simulation developers, and safety experts, to identify and mitigate risks.
• Develop and refine test methodologies to ensure comprehensive coverage of our autonomy system's operational design domain.
• Communicate test results and analysis to stakeholders, contributing to the overall safety case and fail operational design for our robotaxi.

Systems Engineer – Autonomy Verification, Validation

Technical Product Manager

• Unify the Experimentation Ecosystem: Define and execute the strategy to consolidate disparate performance measurement and metrics tools into a single, authoritative platform for all Autonomy engineers.
• Scale the Data Flywheel: Own the roadmap for large scale data management and mining tools. Enable engineers to discover critical edge cases and curate the high impact datasets needed to train and measure Zoox’s state of the art models.
• Accelerate Developer Velocity: Build high fidelity A/B testing and comparative analysis tools that allow developers to validate branch level changes with high confidence before hitting a Pull Request.
• Drive AI Developer Efficiency: Act as the primary advocate for the AI engineering community. Identify workflow bottlenecks and deliver a roadmap that increases developer efficiency and ensures high quality code merges.
• Bridge Technical Domains: Partner deeply with Perception and Behavioral AI leads to translate complex algorithmic requirements into a scalable tool strategy that measures and elevates driving performance.