US government launches Tech Force to recruit AI talent
The US government just launched "US Tech Force," a new two-year program aiming to hire 1,000 early-career tech and AI workers across federal agencies. Backed by partners like Microsoft and Meta, roles offer salaries up to $195,000 to tackle high-stakes projects from defense drones to intelligence systems.

Silicon Valley has spent the past two years throwing absurd compensation packages at anyone who can spell machine learning, leaving the federal government completely sidelined in the talent war.
Now, Washington is trying an entirely different playbook.
On Monday, the U.S. government officially launched the "US Tech Force," a talent program designed to recruit 1,000 early career software engineers, data scientists, project managers, and AI experts directly into the public sector.
Real cash and defense-grade problems
Led by Office of Personnel Management (OPM) director Scott Kupor, the initiative is a two-year fellowship aimed at closing the government's gaping technical void.
Instead of standard civil-service wages, participants will earn between $130,000 and $195,000. It is not OpenAI-level money, but it is remarkably competitive for entry-level government work.
Applications are officially open, with OPM planning to deploy most of the first cohort across agencies by the first quarter of 2026.
These recruits won't be fixing printer drivers, either. Kupor noted they will be assigned directly to high-stakes projects, such as integrating advanced AI into military drones and weapon systems at the Department of Defense, building out the "Trump Accounts" platform at the IRS, and upgrading intelligence processing at the State Department.
OPM handles the initial technical vetting, while individual agencies make the final hiring decisions.
Backed by Big Tech alumni networks
Washington isn't fighting Big Tech this time; it's partnering with them.
Around 25 major tech players have signed on to provide mentorship and career guidance, including Microsoft, Amazon, Meta, Adobe, and Elon Musk’s xAI. The program is even actively encouraging early career tech managers to take a temporary leave of absence from their private-sector jobs to serve their two-year stint.
Throughout the program, Silicon Valley CEOs will host private speaker sessions. Once the two years wrap up, OPM will host a dedicated job fair connecting fellows to both public and private opportunities.
As Kupor put it, the pitch is simple: come solve the most complex problems on earth, gain unparalleled experience, and then head back to Silicon Valley to cash in.
The push comes as the Trump administration accelerates its broader push for tech-driven efficiency, following an AI action plan signed in July that prioritized domestic infrastructure and deregulation. Meanwhile, officials confirmed last month that the controversial Department of Government Efficiency, initially spearheaded by Musk, is no longer operating as a centralized body.
Why it matters
If you are an early career developer or researcher, this is one of the most compelling resume boosters available. In Big Tech, junior talent often spends years optimizing ad clicks or maintaining internal dashboards. Here, 20-somethings will get hands-on access to nation-scale data, defense systems, and direct mentorship from executive leadership at Meta and Microsoft.
For the broader tech landscape, Washington is finally abandoning the fantasy of lifelong civil service. By borrowing the playbook of top-tier consulting firms and investment banks—treating public service as a prestige two-year rotational tour—the government can actually lure top-tier builders who would otherwise never consider a federal badge.
We think aligning with Big Tech is brilliant pragmatism, but the risk lies in execution. Placing green engineers on mission-critical weapon systems and intelligence pipelines will inevitably clash with entrenched agency bureaucracy. If veteran bureaucrats sideline these recruits into writing status reports, the talent bridge will collapse just as quickly as it was built.
Sources (1)
- cnn.com(opens in a new tab)Originalcnn.com