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Staff/Senior Staff Software Engineer - Full Stack

Zoox

Company websitezoox.com (Zoox, opens in new tab)

Base salary $285K  to $350K

Employer-published annual base salary, USD. Advertised base range in Foster City, CA

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  • LocationFoster City, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (8 min ago) · observed since

About this job

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)

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 [email protected] 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.

Source: Zoox on Lever · View original posting (opens in new tab)

This range next to 6 other live Zoox roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Zoox roles with the nearest advertised base floor
RolePublished base
Staff/Senior Staff Software Engineer - Full Stack (this listing)$285K - $350K
Software Engineering Manager - Perception Occupancy$291K - $350K
Head of Talent Acquisition$291K - $369K
Staff/Senior Staff Software Engineer - Product Security$292K - $375K
Senior Staff Machine Learning Engineer - Perception$277K - $389K
Engineering Manager, ML Performance Optimization$276K - $343K
Director, Go-To-Market Strategy$297K - $356K

Same $100K to $400K scale as every card. All Zoox roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-08-21
Where this pay comes from

Location as the employer wrote it: Foster City, CA

USD 285,000 – 350,000 · per-year-salary · salaryRange

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.