AI Workflows & Safety Decision Making Intern [2027]
Zoox · Foster City, CA · Data, analytics and AI · posted 2 days ago
Zoox · Foster City, CA · posted 291 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | Zoox |
|---|---|
| Location | Foster City, California |
| Field | Technology › Data, analytics and AI |
| Level | not stated |
| Source category | PMO, Program Management Office |
| Posted | 2026-01-22 (291 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders across vehicle development, software engineering, manufacturing, fleet operations, and business functions to deliver the major corporate milestones on the path to launch, and beyond. The quality of those decisions depends on how fast the right evidence reaches the right people — and that is what this role builds.
As a Tooling contractor in PMO, you will build the internal web tools and dashboards that decisions get made on. Zoox generates an enormous amount of data — fleet and simulation logs, program and issue tracking, operational telemetry, map and route data — but very little of it arrives in a form a leader can act on. You will close that gap: pull from existing sources, model the data properly, and ship tools that answer real business questions, including geospatial tooling that scores and compares candidate service areas to inform where we deploy next.
The feedback loop is short. Your users sit in the same building, your tools will show up in program and executive reviews within weeks of shipping, and you will own a piece of the stack end to end rather than work a ticket queue.
Build and ship internal web tools and dashboards on top of existing Zoox data sources, owning them from prototype through the version leaders rely on.
Start from the decision, not the dataset — work with TPMs and engineering partners to turn a vague business question into a scoped tool, then iterate quickly on their feedback.
Design the data layer behind those tools — queries, transformations, and pipelines that keep them current without manual intervention.
Extend our geospatial tooling with new attributes, data sources, and visualizations that sharpen where and how we expand service.
Handle real-world data honestly — surface coverage gaps, flag low-confidence results, and make each tool's assumptions visible to the people acting on its output.
Time commitment is flexible and agreed at offer — part-time alongside coursework or full-time both work. A minimum of six months is preferred for continuity.
Must adhere to Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations.
Currently enrolled in, or recently completed, a BS or MS in Computer Science, Data Science, Engineering, or a related quantitative field — or equivalent practical experience.
Demonstrated experience building web tools or dashboards end to end, through coursework, internships, research, or personal projects. We care more about what you have shipped than where.
Strong Python and working SQL, plus enough front-end capability to build a usable interface — React/TypeScript or a Python framework such as Streamlit, Dash, or Flask — with a visualization library (Plotly, D3, or similar).
Effective use of generative AI coding tools such as Claude Code, with the discipline to review and test what they produce rather than ship it unread.
Solid software fundamentals — version control, code review, readable code — and comfort with messy, incomplete real-world data, including the judgment to know when a result is not trustworthy enough to present.
Clear written and verbal communication, and the ability to explain a technical result to a non-specialist audience.
Familiarity with geospatial tooling — GeoPandas, Shapely, OSMnx, H3 or equivalent spatial indexing, and map rendering with deck.gl, Mapbox, Leaflet, or QGIS — and with open data sources such as OpenStreetMap or Overture Maps.
Experience with large-scale data processing and BI tooling — Databricks, PySpark, Tableau, or Looker.
Background in routing, graph algorithms, or network analysis.
Exposure to autonomous vehicles, robotics, mapping, or mobility data, or prior experience building an internal tool other people depended on.
Field: Technology Sub-niche: Data, analytics and AI All jobs at Zoox Jobs in California Jobs in Foster City, CA Foster City city guide California state guide San Mateo County economy
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This is a — role in the Technology field (Data, analytics and AI) at Zoox.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
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The job is in Foster City, CA. Below is what the official statistics say about living and working there.
How Foster City compares. Among the 145 largest places in California, Foster City is #131 by population, #140 for rent (#1 = cheapest), #10 for college degrees (#1 = most), #10 for remote work (#1 = most). Its county, San Mateo County, is #2 of 58 counties for average pay ($196,441).
Foster City has 32,792 residents (ACS 2020–2024), about 0.1% of the population of California. It covers 4 square miles of land, which works out to roughly 8,659 people per square mile. The median age is 39.5, 4% older than the state median (39.5 against 37.9).
The median gross rent is $3,501 a month (rent plus utilities), 72% above the state median ($3,501 against $2,036). Over a year that is 21.1% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,838,200, which is 9.2 times the median household income ($199,143); a ratio above 5 usually means buying is out of reach without savings or a second income. 50.8% of households own their home, 9% below the state average (50.8% against 55.9%).
The San Francisco-Oakland-Fremont, CA metropolitan area has 2,373,920 jobs in the BLS wage survey, and the median pay across all occupations is $74,260 a year, 46% above the national median ($74,260 against $50,980). The biggest occupation groups are office and administrative support (226,320 jobs, median $62,120); management (223,100 jobs, median $176,340); business and financial operations (207,030 jobs, median $112,960). The area is most specialised in computer and mathematical (1.9 times) and life, physical, and social science (1.8 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($176,340) and computer and mathematical ($167,770). In 2026M09 the unemployment rate of San Mateo County was 3.9%. 67.2% of residents aged 16 and over are in the labour force. The city lies in San Mateo County; its jobs, pay by industry and GDP are on the county page.
Among workers, 51.8% drive alone, 2.9% use public transit, 1.7% walk, 34.2% work from home. 20.6% of workers commute 45 minutes or more, 6% above the state average (20.6% against 19.4%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.
73.8% of adults aged 25 and over hold a bachelor's degree or higher, 99% above the state share (73.8% against 37.1%). 49.5% of residents were born outside the United States, 83% above the state share (49.5% against 27.0%). The poverty rate is 4.1%, 66% below the state rate (4.1% against 12.0%).
The warmest month is Sep, averaging 61°F (16.0°C), and the coolest is Jan at 51°F (10.7°C). About 515 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (115 mm) and Jul the driest (2 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: San Mateo (3 miles, rent 12% lower); Redwood City (4 miles, rent 15% lower); Belmont (4 miles, rent 18% lower); San Carlos (5 miles, rent 18% lower). Rent differences are against Foster City; use the Compare tab to put any two cities side by side.
Full guide to Foster City →California guideAll jobs in Foster City
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A private-sector role in technology (data, analytics and ai) listed 291 days ago. The full description is on this page and on the employer's page.
Foster City, CA.
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The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in Foster City is $3,501 a month and median household income $199,143 (ACS 2020–2024).
It was posted on 2026-01-22 (291 days ago). Jobs older than 90 days are not shown.
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