Staff/Senior Staff Software Engineer - Full Stack

Zoox

Foster City, Northern (CA, KY)

On-site

USD 285,000 - 350,000

Full time

8 days ago

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Job summary

Zoox is seeking an experienced software leader to drive the Geofencer stack, encompassing a React/TypeScript map-rich UI and Python services backed by PostgreSQL/PostGIS. You will own versioned geofence workflows, road-network annotation, and the Plan of Record for publishing fleet constraints.

The role requires strong fullstack proficiency, cloud and container experience, and a track record of technical leadership.

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 Python backend services and React with TypeScript/JavaScript for data-heavy UIs.
  • Experience with Linux, cloud infrastructure (AWS or similar), containers, and CI/CD.
  • Demonstrated technical leadership including multi-quarter projects and mentoring.

Responsibilities

  • Lead the design and development of Geofencer across the stack (React/TypeScript SPA with interactive maps and Python backends).
  • Own core geospatial data workflows and release processes for fleet operations.
  • Integrate with Zoox ecosystem components and ML-assisted annotation workflows.
  • Operate production infrastructure with Bazel, Docker/Kubernetes, and observability tooling; automate data migrations and tasks.
  • Drive cross-functional alignment and mentor engineers on the team.

Skills

Fullstack dev
Python backend
React/TypeScript
SQL databases
Leadership

Education

Bachelor's degree in engineering/maths/related

Tools

Deck.gl
Mapbox
FastAPI
SQLAlchemy/GeoAlchemy2
Celery
PostgreSQL
PostGIS
Docker
Kubernetes
Grafana
Sentry
OpenTelemetry

Job description

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.

About Zoox

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. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:

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.

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