Zoox

Electrical Engineer

• Provide electrical engineering leadership for high performance Compute modules
• Work extensively with cross-functional teams (software, mechanical, integration) to ensure product success
• Able to drive the team to consensus in a dynamic environment

Senior/Staff Electrical Engineer, Compute

DevOps Engineer

• Lead Zoox’s technical strategy for prognostics across vehicle systems, with a focus on reducing in-service failures and improving fleet availability
• Identify and prioritize the failure modes where prognostics can create meaningful operational value, based on failure behavior, detectability, warning horizon, and serviceability
• Develop and manage prognostics concepts, methodologies, and technical requirements for monitoring degradation, predicting remaining useful life, and detecting pre-failure behavior in fielded systems
• Partner with reliability, design engineering, service, firmware/software, and data teams to define the signals, features, infrastructure, and product changes needed to enable effective prognostics
• Work with Design Reliability and Field Reliability to translate field performance, repair history, usage patterns, and failure analysis into monitor strategies and deployable health indicators
• Guide the development, validation, and tuning of prognostic models and health monitoring algorithms using field and test data
• Establish technical frameworks for evaluating prognostic performance, including sensitivity, false positive burden, lead time, robustness, and operational usefulness
• Drive tradeoff decisions between prognostics, diagnostics, inspection intervals, and design improvement based on risk, cost, and implementation practicality
• Help build the data and analysis architecture needed to support prognostics at scale, including data quality requirements, feature generation, monitor traceability, and performance feedback loops
• Partner with service operations to ensure prognostics outputs translate into actionable maintenance decisions, clear workflows, and measurable business value
• Provide technical leadership and mentorship across the prognostics workstream, raising the bar on methods, rigor, and cross-functional execution
• Communicate recommendations, risks, and roadmap priorities clearly to engineering leadership and cross-functional stakeholders

Reliability Engineer – Prognostics

Full-stack Engineer

• Design, implement, and validate 3D rendering software for sensor simulation deployed in autonomous vehicle (AV) simulation pipelines.
• Collaborate with Synthetic Data and HIL Sim teams to develop rendering novel applications that combine 3DGS and polygonal mesh assets.
• Optimize performance and realism of realtime 3D sensor simulation, including cameras, lidar, and radar.
• Partner with Sim V&V engineers to improve metrics ranging from individual sensor fidelity to real-world AV safety reports.
• Lead 3D simulation engineers and establish best practices to steadily improve trustability and test coverage of SIL/HIL simulation use cases.

Senior 3D Engine Software Engineer – Simulation

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 scenario

Machine Learning Engineer – Perception

Engineering Manager

• Work closely with AI teams and other software customers to holistically address pain points, find optimization opportunities, and ultimately charter systems-solutions for broad categories of storage use cases
• Develop a multi-year vision and roadmap for storage at Zoox, including investment into new data movement and management paradigms to meet Zoox’s ever growing computational and storage needs in a cost-effective manner
• Own the hiring process end-to-end, from thoughtful role definition to interview loop design to successfully hiring bar raisers
• Mentor, coach, and advocate for your direct reports

Engineering Manager, HPC Storage

Manager

• Serve as the bridge between business strategy, engineering build plans, and operational supply chain execution
• Build demand planning models based on market data and “what if” scenarios that analyze new product introductions
• Partner with Manufacturing Operations to plan factory capacity based on demand, mitigate risks, and prioritize requirements during supply constraints.
• Forecast demand versus supply, define key factory metrics (e.g., forecast accuracy, fulfillment rate), and report performance to leadership
• Manage clear-to-build (CTB), material readiness, and risk visibility across NPI, including risk releases, E&O, and mitigation plans
• Drive scalable supply & demand planning processes, lead continuous improvements, and deliver clear weekly executive updates

Senior Supply & Demand Planning Manager

Data Scientist

• Analyze large-scale datasets from various sources, such as fleet and simulation data, to extract actionable insights.
• Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization.
• Evaluate and validate model performance through rigorous testing and analysis, ensuring the safety and reliability of our systems.
• Communicate complex technical findings and recommendations to both technical and non-technical audiences.
• Mentor and provide technical guidance to junior data scientists and engineers.

Staff Data Scientist – Behavior Evaluation

• Lead Technical Strategy: Build and lead a team of managers and engineers responsible for core occupancy modeling and rare event detection, driving the team’s roadmap, productivity, and execution.
• Drive Model Evolution: Own the development and deployment of critical perception models, overseeing the consolidation of multi-modal architectures and guiding technical design to enhance detection range, robustness and accuracy.
• Innovate with Advanced ML: Lead the adoption of state-of-the-art computer vision and machine learning techniques—such as foundation models and efficient geometrics representations—to improve performance on long-tail classes and support geofence expansion and fleet size expansion.
• Collaborate on Simulation & Data: Collaborate cross-functionally with simulation and data teams to leverage synthetic data and edge-case scenarios, ensuring the perception system performs reliably in adverse weather and safety-critical environments.
• Ensure Organizational Excellence: Drive organizational health by balancing technical leadership with people management, establishing best practices for data-driven decision-making, and enabling the team to scale effectively.

Software Engineering Manager – Semantic Mapping

• Develop and maintain scalable queries using Python, Spark, and SQL to identify behavioral events of interest in fleet and simulation data.
• Conduct analyses to evaluate vehicle behavior, trends, and compliance with defined Rules of the Road and Reputational Risk metrics.
• Support event triage, including classification, documentation, and prioritization for further investigation.
• Design, build, and maintain dashboards in Looker and Databricks to track safety and reputational metrics.
• Leverage AI tools (LLMs/VLMs, prompt engineering, and context engineering) to assist with event summarization, semi-automated triage, and workflow automation.
• Collaborate closely with other teams to investigate anomalies and emerging patterns, providing actionable insights for operational and strategic decision-making.
• Continuously improve data pipelines, triage processes, and dashboard functionality to support efficient Safety operations.

AV Safety Software Engineer

• Develop features for the schedule-based processing framework built on top of Airflow, AWS EMR, and DuckDB.
• Improve the stability, performance, and scalability of our data ingestion and processing platforms as we scale our geofence and robotaxi deployment.
• Collaborate with cross-functional teams, such as software engineers, data scientists, data engineers, and TPMs, to gather requirements, design robust architectures, and implement effective solutions.
• Partner with Staff and Senior engineers inside and outside the organization to translate user pain points into concrete technical solutions and roadmap items.
• Enhance system observability by building monitoring and alerting tools to track performance and measure success.

Software Engineer, Analytics Platform

Systems Engineer

• Act as a cross-functional bridge between middleware developers, and safety teams to ensure aligned design decisions and requirements.
• Develop and maintain a holistic architectural view of the middleware stack, including dependencies, interfaces and potential failure paths, for various compute platforms.
• Help evolve and strengthen the middleware and diagnostics architecture by identifying improvement opportunities such as decoupling interdependent components, designing appropriate fault reactions, etc.
• Define and implement component and system level diagnostics strategy, including fault detection, reporting, logging and traceability.
• Analyze fault propagation scenarios across components and help design mitigations that improve system availability and safety.
• Generate and track fault metrics on a regular cadence.

Senior Software Systems Engineer – Middleware, Diagnostics

Program Manager

• Lead the end-to-end deployment of monetization features across new urban markets, ensuring local payment compliance and operational readiness.
• Act as the central nervous system between Product, Engineering, Data Science, Finance, and Ops to ensure code-complete status and financial reconciliation accuracy.
• Oversee the rigorous validation pipeline, including "on-vehicle" testing of payment hardware and software to guarantee a frictionless rider experience.
• Own the "Monetization War Room"—triaging bugs, managing technical debt, and overseeing rapid resolution cycles to meet strict geofence launch deadlines.
• Build and maintain the master "Workback Plan," translating high-level executive goals into granular, actionable milestones.
• Identify systemic bottlenecks in the launch lifecycle and implement scalable improvements to our monetization workflows.

Program Manager, Monetization – Launch Readiness

SDET

• Lead the design and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication.
• Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution of regression suites.
• Lead root cause analysis for complex system-level failures, developing log mining scripts and visualization dashboards (e.g., Grafana, SQL-based notebooks) to triage failures and track performance metrics.
• Perform gap analyses between high-level safety requirements and technical test implementations, including the development of intricate timing and prioritization patterns.Lead end-to-end validation and clearance process for safety-critical monitors, such as for collision detection systems.

Senior Software Development Engineer in Test – Verification and Validation

• Lead the architectural design of complex, scalable enterprise systems — making high-level design choices, dictating technical standards, and ensuring robust, long-term maintainability across diverse business domains
• Tackle ambiguous, high-impact business challenges by breaking them down into well-defined software solutions, designing systems from the ground up that can adapt to Zoox's rapidly evolving corporate and production needs
• Act as a primary technical partner working closely with Manufacturing, IT, HR, Finance, and Engineering teams to gather complex requirements, translate them into scalable architectures, and deliver high-impact tools that bridge corporate systems with production operations
• Create fault-tolerant, system-to-system integrations connecting core enterprise platforms, including Workday, ServiceNow, Active Directory, VNDLY, and manufacturing and supply chain systems
• Write clean, efficient, and testable code; lead code reviews, mentor junior and mid-level engineers on systems design principles, and drive engineering best practices across the organization

Senior Software Engineer – Enterprise Applications

Technical Recruiter

• Own the full-cycle recruiting process with an emphasis on strong hiring manager partnership and effective candidate advocacy
• Source candidates, screen resumes, and evaluate candidates to determine fit
• Facilitate interview and hiring decision-making processes with interview panelists, hiring managers, and company leadership
• Manage offer process, partnering with hiring managers, leadership, and HR teams
• Continuously and independently seek new ways to improve both the candidate experience and recruiting process