Staff/Senior Staff Software Engineer - Full Stack Software

Frontdoor Defense; Foster City (CA); Hybrid; USD 285,000 - 350,000; Full time

Benefits offered by this job

Sign-on bonus

Health insurance

Stock options (RSUs) & SARs

Paid time off

Job summary

Zoox is hiring a Staff/Senior Staff Software Engineer - Full Stack to own Geofencer end-to-end, from an interactive frontend map editor to geospatial backend services. Location is Foster City, CA.

You will lead architecture and delivery across the stack, mentor engineers, and drive safety-critical software used to define where autonomous vehicles operate. Expect a high-impact, full-stack role with strong collaboration across teams.

Qualifications

• Bachelor's degree in engineering, mathematics, or related field.
• 10+ years of industry experience building and operating production fullstack systems on large code bases.
• Strong proficiency in Python backend services (FastAPI/Flask/Django or similar) and React with TypeScript/JavaScript.
• Relational databases, async/task-queue architectures, and scripting/automation (Python, shell).
• Experience with Linux, cloud infrastructure (AWS), containerized deployment, build systems, version control, testing methodologies, and CI/CD.
• Demonstrated technical leadership: driving multi-quarter projects, setting architectural direction, and mentoring engineers.

Responsibilities

• Lead the design and development of Geofencer across the stack: React/TypeScript SPA with deck.gl and Mapbox, Python backend services, PostgreSQL/PostGIS.
• Own core geospatial data workflows, including versioned geofence editing and Plan of Record release process.
• Integrate with the Zoox ecosystem (Road Network, S3 pipelines, fleet systems, ML workflows).
• Operate production infrastructure: Bazel, Docker/Kubernetes, observability, CI/CD, and build automation scripts.
• Drive cross-functional alignment and mentor engineers on the team.

Skills

React/TypeScript

Python

Relational databases

Async / task-queue architectures

Scripting / Automation (Python, shell)

Leadership / mentoring

Education

Bachelor's degree in engineering/science

Tools

FastAPI

Flask/Django

PostgreSQL/PostGIS

SQLAlchemy/GeoAlchemy2

Celery

Deck.gl/Mapbox

Docker

Kubernetes

Sentry

Grafana

OpenTelemetry

Git

AWS

Job description

Staff/Senior Staff Software Engineer - Full Stack

Own the Geofencer platform end-to-end from frontend map editor to backend services

Location: Foster City, California

Compensation: $285,000 - 350,000 USD / year

About The Role

Technical Lead For Geofencer

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.

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)

$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 Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. 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, and life insurance.

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments.

If you need an accommodation to participate in the application or interview process please reach out to [e-mail] or your assigned recruiter.

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.