Zoox

Technical Recruiter

• Qualify and understand job requirements
• Source and screen resumes, and evaluate candidates to determine fit
• Build a pipeline of engineering talent with recruiting partners to meet company needs and priorities

Technical Sourcer

Technical Program Manager

• Manage large, complex programs within Software Systems, requiring close cooperation with the Autonomy, Firmware, and Product Software organizations.
• Work directly with engineering teams to develop comprehensive project schedules, define clear milestones, identify and mitigate risks, estimate budgets, and clearly communicate ongoing progress to all stakeholders.
• Lead experts across diverse technologies, guiding them to deliver highly demanded features and programs.
• Ensure timely, efficient, and predictable delivery of programs, making your role crucial to our overall success.

Senior/Staff Technical Program Manager – Core Systems

Full-stack Engineer

• Design and implement cost optimization strategies across distributed compute infrastructure, targeting millions in annual savings
• Build cost visibility, attribution, and chargeback systems to drive accountability and informed decision-making
• Optimize job scheduling algorithms and auto-scaling policies to maximize resource utilization and minimize idle capacity
• Design multi-region orchestration strategies that optimize for data locality, cost and performance
• Identify and eliminate inefficient workload patterns through profiling, analysis, and developer education by coordinating with workload owners across multiple teams
• Evaluate new technologies and paradigms that reduce cost while meeting Zoox's computational and storage needs
• Develop cost forecasting models and budget management tools for capacity planning
• Implement cloud cost optimization strategies including spot instances, reserved capacity, and right-sizing
• Create production-grade APIs, SDKs, and tools that make cost-efficient patterns the default developer experience

Senior Software Engineer – HPC Cost Optimization, Efficiency

• Work on implementation of core tracking results from the Perception stack
• Work with both the model teams and optimization teams to develop a highly performant and efficient system that can run on vehicle.
• Work with Perception data, both on the input and output of machine learned models
• Take tracking output and integrate this into the larger behavioral system in the Autonomy stack

Software Engineer – Perception 3D Tracking

Systems Engineer

• Develop and employ formal languages and models to describe intended software/system behaviors.
• Leverage third-party or build in-house tools to generate formal design and validation tests.
• Implement and integrate tools to verify that software/systems behave as intended.
• Integrate analysis and verification into existing processes, workflows, tools, and other infrastructure.
• Lead various systems engineering activities that are essential for a successful launch of safety-critical software on a self-driving vehicle.

Senior Software Systems Engineer – Software Health, Complexity

• Develop software both on and off the robot to maximize system throughput when transmitting data
• Work with key stakeholders to develop initial data infrastructure required for landing in new cities
• Architect long-term network infrastructure design for permanent robot depots
• Incorporate operational feedback to mature existing offload systems
• Design software for ~100x growth of our fleet to support rapid expansion through the next several years

Senior Software Engineer – Core Data Infrastructure

SDET

• Develop test plans and test cases that are abstracted to the highest level of integration
• Focus on automating testing utilizing internal Hardware in the Loop (HIL) and Software in the Loop (SIL) assets
• Review data, collect metrics, and provide quantitative evidence to report on milestone readiness
• Analyze vehicle logs and test data using in-house tools to trace failures for root cause analysis, documentation, and communication
• Support the defect management process from recognition to resolution

System Test Engineer

Data Analyst

• Partner with Marketing, Operations, and Executive teams to finalize and maintain the definitions of core KPIs: Ridership, Reputation (e.g., NPS, Sentiment), and Brand Awareness (e.g., Share of Voice, Branded Search Volume).
• Oversee the data flow and integrity across the core analytics stack: Salesforce Data Cloud, AppsFlyer, GA4, Sprinklr, and Salesforce Marketing Cloud.
• Lead, where applicable, to successfully integrate proprietary data into the tools and applications to ensure accurate linking of marketing IDs (from AppsFlyer/GA4) to custom
• Define, implement, and maintain the Position-Based Attribution Model to accurately allocate credit for Ridership conversions across all paid and organic channels.
• Lead the design and implementation of scalable marketing processes and operating rhythms that translate strategy into consistent, measurable execution across the team.
• Lead the calculation and reporting of Marketing Return on Investment (MROI), Customer Acquisition Cost (CAC), Customer Lifetime Value (CLV), and CLV:CPAR (Cost Per Acquired Rider) ratio by channel.
• Conduct proactive analyses to identify growth opportunities, diagnose drops in ridership, and determine the causal relationship between improvements in Reputation (e.g., rising NPS) and increases in Ridership Retention.
• Support the team by analyzing and proposing controlled experiments across digital channels (ad creative, landing pages, in-app promotions) to generate statistically significant findings.
• Design and build automated, integrated dashboards in the BI tool that leverage internal and external datasets.
• Create or contribute to reports and presentations summarizing marketing performance against the core KPIs for executive leadership, clearly translating complex data into strategic recommendations.
• Create dashboards, reports, and presentations that show the performance of marketing activities.
• Establish and enforce standards for data quality, UTM usage, and naming conventions across all marketing campaigns to ensure reporting accuracy.
• Provide insights and strategic recommendations from competitive, category, and product analyses provided from cross-functional teams to inform marketing plans.
• Drive end-to-end customer and market insights initiatives, integrating quantitative analytics with qualitative research to uncover emerging behaviors, unmet needs, and new opportunities for differentiation.
• Manage Voice of Consumer (VoC) programs, including social sentiment, customer feedback, and review analysis into actionable insights informing brand messaging, product, and service decisions.

Marketing Research & Analytics Manager

• Be the point of contact for SDMA for field service issues related to SDMA safety and fail operational metrics. Triage the issue and lead/support the issue resolution process. Be available to support onsite issue investigation and resolution with short notice.
• Design and improve internal tooling to support efficient triage and investigation of service events
• Conduct root cause analysis using industry-standard methodologies (5-why, fault tree, fishbone analysis, FMEA, CAST, etc.)
• Recommend corrective action plans (short and long-term) and improvement strategies based on investigation findings and align with cross-functional stakeholders (engineering, operations, legal, safety policy, manufacturing, etc.) to define the solutions. These corrective action plans could include engineering solutions in hardware and software, as well as operational mitigations and process improvement
• Ensure continuous feedback loop to improve and refine operational safety requirements
• Proactively identify potential safety hazards and service issues in Zoox’s field operation of autonomous driving as a service through structured predictive safety analysis and review of historical operational data.
• Be a part of the rotational on-call engineering team during milestone launches and operations.
• Brief and report to executive teams