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    Home > Top Stories > Tesla closes an office as layoff hits Autopilot jobs, including hourly ones
    Top Stories

    Tesla closes an office as layoff hits Autopilot jobs, including hourly ones

    Published by Wanda Rich

    Posted on June 29, 2022

    2 min read

    Last updated: February 5, 2026

    This image depicts a Tesla office in San Mateo, California, recently closed as part of layoffs affecting Autopilot jobs. The closure highlights Tesla's cost-cutting measures amid economic concerns.
    Tesla office closure impacting Autopilot jobs amid layoffs - Global Banking & Finance Review
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    Tags:innovationfinancial crisisemployment opportunitiesjob creationeconomic growth

    By Hyunjoo Jin

    SAN FRANCISCO (Reuters) – Tesla has shuttered its office in San Mateo, California and laid off roughly 200 employees working on its Autopilot driver-assistant system there, one of the people told Reuters, in a move seen as accelerating cost-cutting.

    Most of the laid-off people had been hourly workers, that person said.

    Early this month, Tesla Chief Executive Elon Musk told top managers he had a “super bad feeling” about the economy and that the maker of electric cars needed to cut staff by about 10%.

    Later, the billionaire said that the 10% cuts would apply only to salaried workers and that hourly staff numbers were still expected to grow.

    “Tesla clearly is in a major cost-cutting mode,” said Raj Rajkumar, professor of electrical and computer engineering at Carnegie Mellon University. “This (staff reduction) likely indicates that 2Q 2022 has been pretty rough on the company due to the shutdown in Shanghai, raw material costs and supply chain problems.”

    Anti-pandemic measures in Shanghai have depressed Tesla’s production there.

    The laid-off person who spoke to Reuters said employees at the satellite office had previously been told that they would move to an office in Palo Alto in stages beginning this month after the San Mateo lease expired. But most of the workers were laid off on Tuesday.

    “It was definitely kind of numbing,” he said. “Yeah, we’re definitely shocked; we’re definitely blindsided.”

    Some workers expected Tesla to shift some of the jobs to lower-wage workers in Buffalo, New York, to save costs.

    Tesla did not immediately respond to a Reuters request for comment.

    Many people in Tesla’s San Mateo office work on data annotation – reviewing and labeling various visuals collected from Tesla vehicles to teach the cars’ Autopilot system how to handle certain kinds of road scenarios.

    A number of Tesla data annotation employees said on Linkedin on Tuesday that they had been laid off.

    “So kind of a disappointing day today. Myself along with almost the whole San Mateo Branch at Tesla just got laid off,” Caeser Rosas, a data annotation specialist, said on a Linkedin post.

    Bloomberg first reported about the San Mateo job cuts.

    Musk has also said Tesla’s new factories in Texas and Berlin are “gigantic money furnaces” losing billions of dollars.

    (Reporting by Hyunjoo Jin; Editing by Bradley Perrett)

    Frequently Asked Questions about Tesla closes an office as layoff hits Autopilot jobs, including hourly ones

    1What is Autopilot?

    Autopilot is a driver-assistance system developed by Tesla that uses cameras and sensors to assist drivers in controlling the vehicle, enhancing safety and convenience.

    2What is a layoff?

    A layoff is the termination of employees from their jobs, often due to economic conditions or company restructuring, resulting in a reduction of the workforce.

    3What is cost-cutting?

    Cost-cutting refers to measures taken by a company to reduce its expenses, often to improve profitability or respond to financial challenges.

    4What are hourly workers?

    Hourly workers are employees who are paid based on the number of hours they work, as opposed to a fixed salary. They often receive overtime pay for hours worked beyond a standard workweek.

    5What is data annotation?

    Data annotation is the process of labeling data, such as images or text, to train machine learning models, helping systems like Tesla's Autopilot to recognize and respond to various scenarios.

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