Staff/Senior Staff Software Engineer - Full Stack

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 help establish infrastructure, design and develop software tools that will automate, track or audit processes and methods needed to build safety-critical software that will revolutionize transportation in the 21st century.

Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software, systems and firmware engineers across the Zoox software organization, ranging from state-of-the-art AI Perception, all the way to highly-critical RTOS and middleware components.

In this role, you will

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.

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 TypeScript/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/CD

Demonstrated 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)