Staff/Senior Staff Software Engineer - Full Stack

About the role

The Software Systems Infrastructure team supports the Software Systems organization with internal tooling, development processes, and ensuring safety-critical software meets high safety standards for production vehicles. As a technical lead, you will own the architecture and delivery of Geofencer—Zoox's geospatial platform for defining where and how autonomous vehicles operate. Geofencer serves as the system of record for geofences, road-network annotations, pickup/dropoff zones, and released Plans of Record that directly impact fleet operations. Changes to this application influence real-world robotaxi behavior.

You will lead development across the full stack, from an interactive map-editing frontend to geospatial backend services and release pipelines, collaborating with mapping, autonomy, operations, and safety teams. As a team lead, you will set technical direction, drive quality and correctness in a safety-critical domain, and mentor engineers.

Responsibilities

• 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: 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.
• Develop scripts and tools to automate tasks such as data migrations, bulk annotation operations, and 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.

Requirements

• Bachelor's degree in engineering, mathematics, or a related field.
• 10+ years of industry experience building and operating production fullstack systems on large codebases.
• 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.
• 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).

Pay

Base salary range: $285,000 - $350,000 per year. Compensation includes salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may also be offered. The range applies only to base salary and varies based on geographic location and level, which is determined by factors such as relevant experience, domain knowledge, and interview performance.

Benefits

• Paid time off (sick leave, vacation, bereavement).
• Unpaid time off.
• Zoox Stock Appreciation Rights.
• Amazon RSUs.
• Health insurance.
• Long-term care insurance.
• Long-term and short-term disability insurance.
• Life insurance.