Senior Software Engineer - Full Stack

Position: Staff/Senior Staff Software Engineer - Full Stack
Foster City, CA Software – Software Systems /Full-time /Hybrid 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  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  this role, you will:
Lead the design and development of Geofencer across the stack: a React/Type Script single-page application with rich interactive map editing (deck.gl, Mapbox), and Python backend services (FastAPI, SQL Alchemy/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, Open Telemetry), 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.

Qualifications  Bachelor's degree in an engineering, mathematics, or related field
10+ years of industry experience building and operating production fullstack systems on large code bases

Strong proficiency in fullstack development:
Python backend services (FastAPI/Flask/Django or similar), React with Type Script/JavaScript (ideally for data-heavy or visualization-intensive UIs), relational databases, async/task-queue architectures, and scripting/automation (Python, shell)

Experience with Linux, cloud infrastructure (AWS or similar), containerized deployment, build systems, version control, testing methodologies, and CI/CDDemonstrated technical leadership: driving multi-quarter projects, setting architectural direction, and mentoring engineers

Bonus Qualifications

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

Familiarity with ML-assisted data pipelines (e.g., VLM-based annotation or labeling workflows)$285,000 - $350,000 a year

Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock…