Release Manager

Our Simulation team builds the tools that engineers across the company rely on to validate autonomous vehicle safety and performance - including 3D scenario authoring tools, generative models for realistic traffic and scenario generation, and agentic tooling that automates manual simulation workflows. The team combines traditional software engineering with machine learning engineers, and the simulation coverage they deliver directly determines how many miles, scenarios, and edge cases we can validate before each autonomy release. We're looking for an Engineering Manager to lead a team of software and ML engineers building the scenario authoring tools, generative models, and agentic tooling that engineering relies on broadly to validate autonomous vehicle safety and performance. You'll own the team's technical direction - including its ongoing shift toward generative AI - while growing and developing the team, and you'll partner cross-functionally to scale our generative scenario creation capabilities as a company-wide capability with executive visibility. In this role, you will: Manage and grow a mixed team of software and machine learning engineers building simulation tools that are used broadly across engineering to validate autonomous vehicle safety and performance. Set and drive the team's technical direction, investing in agentic tooling to automate manual simulation workflows and deploying in-house generative models for exploratory vehicle testing. Lead high-visibility, cross-functional initiatives to scale the company's generative scenario creation capabilities, partnering with stakeholders across engineering and earning executive sponsorship. Own delivery of simulation tooling and services, including scenario authoring tools (e.g., 3D visual editors) used broadly across engineering teams. Ensure simulation tooling keeps pace with new Operational Design Domain (ODD) capabilities and upcoming autonomy milestones.<

We're looking for a Senior Manager of SW Tools Development to lead an organization built on two closely connected pillars: AI-powered tools and agents, and the test infrastructure, data pipelines, and process automation that engineering and business teams rely on every day. You'll bring deep knowledge of large language models (LLMs) and applied AI, and use it not only to build new AI-driven products but to find where AI can meaningfully upgrade test infrastructure, data pipelines, and automation — the overlap between these areas is where some of your team's highest-leverage work happens. Beyond building the tools, you'll be the face of your organization's products internally — demoing capabilities, winning over new adopters, and growing the portfolio of tools your team owns. You will manage multiple engineering teams (including managers), partner cross-functionally with stakeholders across the business, and build the processes that let your tools ship safely and reliably at scale. In this role, you will: Lead and grow multiple engineering teams spanning AI-powered tools/agents and test infrastructure, data pipelines, and process automation, managing and mentoring managers and senior engineers, and holding your organization accountable for delivery and quality across both areas. Set a unified, prioritized roadmap across your organization that balances new AI agent/tool capabilities with test infrastructure, data pipeline, and process automation needs — with a sharp eye for where applying LLMs to automation, pipelines, or test systems creates outsized leverage. Design and enforce the architecture, quality gates, and release processes that ensure tools, pipelines, and AI agents are validated, secure, and reliable before reaching production. Partner cross-functionally with engineering, operations, and business leadership across the company to align priorities, scope integrations, and drive adoption of new tooling at an organizational leve

Zoox is building the world's most advanced self-driving hardware and software solution, and nearly every part of it depends on moving data reliably. Sensor frames to perception, planner decisions to vehicle controls, telemetry to the cloud, and remote operator video back down again. All of it crosses process, host, and network boundaries under hard latency and reliability budgets, on a vehicle that has to keep working when a link degrades or a network gets congested. The Software Core Connectivity team owns that data path end to end: in-vehicle messaging (pub/sub, RPC, inter-process and inter-host transport), the vehicle's internal network, and vehicle-to-cloud connectivity. It also owns the transport and serialization abstractions the rest of the software organization builds on. Every one of those paths crosses a team boundary, so the work happens alongside firmware, product security, simulation, manufacturing, and IT, and those partners rely on this team for transport and networking depth to achieve their goals. As the team leader you will own the roadmap and the release commitments, and you will spend a real share of your time in those partnerships. In this role, you will: Own the roadmap, staffing, and release commitments across the team's messaging, in-vehicle network, and cloud connectivity work. Lead and grow a team of software engineers, run their performance and promotion cycles, and hire into the gaps. Represent the team in cross-functional programs across firmware, product security, simulation, fleet operations, and infrastructure, and build the relationships that keep shared work moving. Set the technical bar. Make the architecture calls stick, and make sure the abstractions the team ships are ones other teams want to build on. Balance interrupt-driven reliability work against long-horizon architecture, and be explicit with partners about the tradeoff. Qualificati

Zoox’s Autonomy Technical Program Management (TPM) team is seeking a leader to manage our autonomy perception TPM team. As the manager of our autonomy perception TPM team, you will partner with management on strategy, roadmapping, improvement of our development & release processes, and guidance of the perception team towards delivering Zoox’s needs. You will be responsible for a team of TPMs and handle performance, mentoring, career growth, retention, and hiring. You and your team will work with the various sub-teams and initiatives within the autonomy software organization and stakeholders across Zoox to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. In this role, you will: Lead an experienced team of TPMs and leverage your technical & managerial skills to deliver high-impact results, while growing the TPM team through hiring & guiding the professional development of team members Set the program management direction for the autonomy perception TPM team, and iterate on our development processes Work with autonomy and perception software department leaders to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables. Create and deliver technical presentations that explain program initiatives to downstream consumer teams Represent the team in cross-departmental forums, with key stakeholders, and in executive meetings Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments Qualifications BS or MS degree in computer science, engineering or equivalent job experience At least 10 years of experience in engineering, program management, or management consulting At least 5 years of experience managing a team of technical program managers Deep familiarity with aut

As the Manager of Model Validation & Verification (VnV) for Behavior Autonomy, you will lead an engineering and data science team responsible for evaluating, benchmarking, and validating the machine learning models and behavioral algorithms that drive our autonomous vehicle (AV) prediction and planning stacks. You will own the statistical frameworks, offline/online evaluation metrics, and validation pipelines that ensure our behavioral models operate safely, comfortably, and predictably. Operating at the intersection of Data Science, Machine Learning, and Safety Engineering, you will partner closely with Autonomy Software, Prediction, Planner, and ML Operations teams to establish data driven release criteria for our AV fleet. In this role, you will: Team Leadership & Execution: Lead, mentor, and scale a high-performing team of Data Scientists, ML Validation Engineers, and Software Engineers while driving roadmaps, sprint execution, resource allocation, and high-throughput model releases with rigorous safety guardrails. Culture of Rigor: Foster a culture of statistical excellence, healthy skepticism, proactive risk tracking, and data-driven decision-making. Validation Strategy & Methodologies: Define and execute end-to-end validation strategies across offline evaluation, open/closed-loop simulation, and shadow-mode fleet benchmarking to ensure robust behavioral model performance. Statistical uncertainties, and regressions into clear, data-driven recommendations for release gating and executive leadership. Metrics, Release Gating & Rigor: Oversee metric development and standardization with System Safety and Autonomy teams, establishing quantitative go/no-go release criteria for Behavioral Planner and Prediction ML models while fostering statistical rigor and proactive risk management. Cross-Functional & Infrastructure Partnership: Partner closely with Planner, Prediction, MLOps

Zoox is building a full-stack autonomous mobility solution from the ground up. The System Behavior Analysis team is the front line for triage of driving events and software issues from our vehicle fleet and large-scale simulation, turning that data into engineering signal. As the Technical Program Manager for System Behavior Analysis, you will sit in our Platform SW Integration organization and treat triage as a systems and data problem. Triage sits in the middle of a larger loop, from the fleet and simulation through engineering fixes to validation and release. You will partner with software development, software integration, QA, safety, product, vehicle operations and the Program Management Office. In this role, you will: Drive triage accuracy and routing. Run the triage reviews that get defects, high-severity live-service issues and safety-critical events accurately classified and routed to the downstream teams that act on them. Measure and improve triage health. Track throughput, misclassification, latency, backlog aging, automation coverage and regulatory-reportable issues, and use them to flag risks early and give leadership decision-ready updates. Program-manage triage tooling and automation. Bring requirements to the dedicated tools and automation team, help sequence what gets automated, and track delivery, adoption and the capacity it frees. Manage intake and escalation. Maintain the intake paths, escalation criteria and shared boards partner teams rely on. Plan commitments and capacity. Turn milestones into quarterly triage commitments and forecast demand across onshore, offshore and vendor teams Qualifications Systems-Oriented Background: 3+ years in technical program management or engineering operations, with a systems mindset: you see a program and its hardware-software systems as connected parts, and trace