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Jobs Private USA → Technology → Data, analytics and AI → Software Engineer, ML Inference Optimization

Software Engineer, ML Inference Optimization

Zoox · Foster City, CA · posted 165 days ago

In short: Software Engineer, ML Inference Optimization at Zoox in Foster City, CA, posted 165 days ago.

By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.

Zooxemployer
Foster City, CAlocation
Data, analytics and AIsub-niche
165 days agoposted
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The job

LIVE Employer public job feed (private-sector employer) Source: the employer's public careers feed · Data: listed 2026-05-28

EmployerZoox
LocationFoster City, California
FieldTechnology › Data, analytics and AI
Levelnot stated
Source categorySoftware Systems, Software
Posted2026-05-28 (165 days ago)
Work arrangementOn-site at the location listed
PayNot published in the source listing

Job description

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible.    The Opportunity Are you excited to drive our ML Inference Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.   We build and operate the base layer of ML tools, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent.

In this role, you will:

  • Design, implement, and operate cutting-edge ML Training OR Inference performance optimization techniques to scale our VLM, VLA, and Foundational models and deploy them efficiently in our robotaxi.

  • Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions.

  • Qualifications

    Note: You do not have to meet all the requirements below to be considered for this position:
  •  4+ years of total experience, including 2+ years of working on large-scale model training or inference platforms.
  • Experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training.
  • Experience with GPU-accelerated inference using TensorRT or similar frameworks.
  • Experience using profiling tools like NVIDIA's Nsight or PyTorch's Profiler for identifying model training and serving bottlenecks.
  • Proficient in Python or C++.
  • About ZooxZoox 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
    AccommodationsIf 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.

    Explore around this job

    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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    You apply on the employer's page; AtiveSite does not receive or process applications and is not affiliated with the employer. The description above is shown as the source published it.

    About the role

    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.

    Does the pay work here? (estimate)

    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.

    How to prepare and behave

    This is editorial guidance, not information from the employer.

    Know your rights as a candidate and an employee:

    The city

    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).

    The place in numbers

    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).

    Housing

    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%).

    Work and pay

    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.

    Getting around

    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.

    People and education

    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%).

    Climate

    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.

    Nearby cities to compare

    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

    Official links for Foster City

    These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

    Where to live

    The job city has no coordinates we can place on the map, so no housing comparison is shown. Use the 250 largest cities table to compare rent and income.

    Career paths

    We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

    Cybersecurity (762) Software engineering (4641) Cloud, IT and infrastructure (1147) Product management (927)

    Distances

    This job has no single city we can place on the map (remote, flexible or unmatched location), so no distance table is shown. Browse all Technology jobs with distances from any of the 20 largest cities.

    The employer

    Zoox is the employer in this listing. See all its open jobs here →

    We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

    What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

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    FAQ

    What is the Software Engineer, ML Inference Optimization job at Zoox?

    A private-sector role in technology (data, analytics and ai) listed 165 days ago. The full description is on this page and on the employer's page.

    Where is this job?

    Foster City, CA.

    How do I apply?

    Use the "View this job and apply on the employer's page" button. AtiveSite does not receive applications.

    How much does it pay?

    The listing does not publish pay, and we could not match the title to one official occupation.

    What is the cost of living there?

    Median rent in Foster City is $3,501 a month and median household income $199,143 (ACS 2020–2024).

    How old is this listing?

    It was posted on 2026-05-28 (165 days ago). Jobs older than 90 days are not shown.

    Are there similar jobs?

    Yes: browse data, analytics and ai jobs in California.

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