Staff/Senior Staff Full Stack Software Engineer

• The Software Systems Infrastructure team is responsible for aiding the Software Systems organization with all its internal tooling needs, development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles
• We are a fullstack, high-paced software engineering team
• In this role, you will be a technical lead for a tool called Geofencer - Zoox’s geospatial platform for defining where and how our autonomous vehicles operate
• Geofencer is the system of record for geofences, road-network annotations, pickup/dropoff zones, and released Plans of Record that flow directly to the fleet — making it one of the highest-leverage tools at the company: a change made in this application changes where robotaxis drive in the real world
• You will own architecture and delivery across the full stack, from an interactive map-editing frontend to geospatial backend services and release pipelines, working closely with mapping, autonomy, operations, and safety teams
• As a team lead, you’ll take technical ownership for the whole system including delivery of features, set technical direction, drive quality and correctness in a safety-critical domain, and mentor engineers across the team
• Lead the design and development of Geofencer across the stack: a React/TypeScript single-page application with rich interactive map editing (deck.gl, Mapbox), and Python backend services (FastAPI, SQLAlchemy/GeoAlchemy2, Celery) on PostgreSQL/PostGIS
• Own core geospatial data workflows: versioned geofence editing, road-network annotation, drivable-area computation and connectivity validation, and the Plan of Record release process that publishes operational constraints to the fleet
• Integrate with the broader Zoox ecosystem: the Zoox Road Network (ZRN) map graph, S3 artifact pipelines, downstream fleet and mission systems, and ML-assisted annotation workflows
• Operate production infrastructure: Bazel builds, Docker/Kubernetes deployment, observability (Grafana, Sentry, OpenTelemetry), and CI/CD and whip up quick scripts and tools to automate tasks — data migrations, bulk annotation operations, metrics generation
• Drive cross-functional alignment with operations, mapping, and autonomy stakeholders; translate ambiguous operational needs into scalable technical solutions; and mentor engineers on the team

Benefits

• Paid parental leave
• Affinity groups and sports clubs
• Work from home opportunities
• Health insurance
• Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
• We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
• We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
• There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description

• Experience with Linux, cloud infrastructure (AWS or similar), containerized deployment, build systems, version control, testing methodologies, and CI/CD
• 10+ years of industry experience building and operating production fullstack systems on large code bases
• Demonstrated technical leadership: driving multi-quarter projects, setting architectural direction, and mentoring engineers
• Strong proficiency in fullstack development: Python backend services (FastAPI/Flask/Django or similar), React with TypeScript/JavaScript (ideally for data-heavy or visualization-intensive UIs), relational databases, async/task-queue architectures, and scripting/automation (Python, shell)
• Bachelor’s degree in an engineering, mathematics, or related field
• You do not need to match every listed expectation to apply for this position
• Familiarity with ML-assisted data pipelines (e.g., VLM-based annotation or labeling workflows)
• Experience with geospatial systems: PostGIS, GDAL/Shapely/Turf, map rendering libraries (deck.gl, Mapbox GL, Leaflet), or road-network/graph data models and building map-based web applications or GIS tooling with safety-critical systems
• Robotics, automotive, or aerospace software experience