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← Companies
About Shield AI
Shield AI builds autonomy software and uncrewed aircraft for defense customers, including the Hivemind autonomy stack and the V-BAT aircraft. Its Lever board publishes software, autonomy, hardware and flight test roles.
People & hiring
Company scale, with the denominator visible
Employee figures and vacancy signals describe different things. Each chart names its scope and observation period.
No sourced employee headcount or technical-staff share is available for this company yet. Vacancy counts below are never used as employee estimates.
ApplyDjinn hiring evidence · current 30-day window
Explore these jobs →Current open roles
540
Change versus 2026-11-09.
Technical open roles
4991%
Classified from the same current vacancies. This is a hiring mix, not the employee mix.
Live vacancy evidence
Technology coverage at Shield AI
Coverage always uses all 54 active roles as the denominator. Scope only changes which requirement signals count.
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- Technologies
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Company Details
Industry
Defense Technology / Autonomy
Company size
—
Headquarters
San Diego, USA
Founded
—
Domain
shield.ai
Rating
—
The company activity baseline is being collected.
Open roles
54
Technical roles
49 of 54
Observed hiring change
-11 roles
Hiring and market history
Daily vacancy snapshots show this company’s observed hiring; no standalone public ticker is assigned.
Open roles
Vacancy history
Current role mix
49 technical · 5 other
91% of currently observed roles are technical.
54 open positions at Shield AI
Showing the latest 0 here.
Employee perspectives
Reviews of Shield AI
Publisher ratings on a shared 5-point scale. The overall score averages the available publishers equally.
Glassdoor
Employee ratings and reviews
Open Glassdoor to check its current rating.
DOU
A verified DOU profile is not available for this company yet.
Dated snapshots may differ from the latest source. DOU scores are converted from 100 to 5 by dividing by 20. Survey responses and written reviews are separate counts. Review text stays on the publisher’s site. Glassdoor may require sign-in.
Company monitor
Published about Shield AI
Official updates and independent stories that name Shield AI, with dates and source attribution. Each preview opens here first.
8 verified updatesOfficial feed monitored
View news and attention signals for Shield AI →Official · shield.ai
Shield to acquire Echodyne in a transaction valued at $5.3 billion and raise $2.5 billion at a $28.8 billion valuation
Acquisition to expand Shield’s Mission Systems business into the fast-growing radar and counter-drone sectors SAN DIEGO and KIRKLAND, Wash. (November 5, 2026) – Shield today announced it has entered into a definitive agreement to acquire Echodyne Corp., an industry-leading radar company, in a transaction valued at $5.3 billion. Echodyne radars are built into hundreds of counter-drone and security systems used by defense, government and commercial customers in more than 40 countries. Both companies expect triple-digit revenue growth this fiscal year. Shield is raising $2.5 billion to support the transaction, including $1 billion in Series H funding at a $28.8 billion post-money valuation, a $1 billion structured equity investment from funds managed by Blackstone and $500 million in debt financing led by JPMorgan Chase Bank, N.A. as Sole Arranger. Of the $5.3 billion transaction value, $4.8 billion will be paid and issued at closing and up to an additional $500 million is contingent on Echodyne meeting agreed performance targets. “We are building a new-generation defense technology company consisting of three fast-growing, high-margin, mutually supporting business units: autonomy software, autonomous systems, and mission systems,” said Gary Steele, CEO of Shield. “The acquisition of Echodyne dramatically accelerates our efforts to meet growing customer demand for multi-mission capabilities, provides increased access to a rapidly expanding counter-drone industry, and further diversifies our revenue streams with sustained, compelling growth for the combined company.”
Open story →Official · shield.ai
We Built the First X-BAT Prototype in One Year. Now We Put it to the Test.
One year ago, we shared our design and vision for X-BAT, the world’s first autonomous vertical take off and launch (VTOL) strike fighter. Today, as I write this, the first-full scale X-BAT prototype is complete and on its way from our development facility in Frisco, Texas, to our flight test facility in Newton, Kansas. This milestone represents a year of sustained effort and discipline from a team that committed to an ambitious design and build schedule and delivered. That is no small feat. Shield is building the best team in aviation. This aircraft, and the speed at which we built it, is a testament to that team and the work put in over the last year. It’s an incredible accomplishment, to be sure. But we still have a long way to go, and we’re not losing sight of that.
Open story →Official · shield.ai
X-BAT for Europe: A Conversation with Former RAF Typhoon Pilot Andrew “Geeky” Hawkes
Andrew “Geeky” Hawkes knows what it takes to bring a new combat aircraft into service. As one of the first-ever Royal Air Force pilots to train and fight on the Eurofighter Typhoon, he helped introduce cutting-edge capabilities and develop tactics for the force. At Shield, he’s known to his colleagues almost exclusively as Geeky, a callsign he earned by being “massively computer literate” and quickly mastering the Typhoon’s technical details. Over time, he’s grown to embrace the moniker. “We live in a world where geeks are cool, I think.” Today, he draws on years of operational experience and time in the defence industry to lead European campaigns for Shield’s X-BAT, the world’s first vertical takeoff and landing autonomous strike fighter. We sat down with Geeky ahead of the International Fighter Conference (IFC) to discuss the operational needs shaping his interest in X-BAT, the development progress he has seen firsthand, and how Shield is building an enduring presence in Europe.
Open story →Official · shield.ai
Leonardo selects Shield to further its rotary-wing autonomy development
LONDON (October 29, 2026) — Shield today announced an agreement with Leonardo under which Leonardo will use Shield’s Hivemind software to further develop autonomy capabilities for integration onto Proteus, Leonardo’s autonomous uncrewed rotorcraft. The agreement expands Leonardo’s tools to build its own mission autonomy software for new and existing systems. Using the Hivemind Software Development Kit (SDK), the two companies will work together to integrate the software so Leonardo engineers can develop new autonomy capabilities for rotary-wing operations, including anti-submarine warfare (ASW), intelligence, surveillance, and reconnaissance (ISR), and contested logistics helicopter operations. “Leonardo builds some of the most widely flown rotorcraft in the world, and Hivemind gives its engineers new tools to add autonomy to them,” said Tom Schaefer, vice president of Hivemind engineering at Shield. “Autonomy software is never finished. It changes with the mission, the threat, and the sensors on the aircraft. Leonardo’s engineers can therefore tailor Hivemind software to their mission sets, and the work stays with them.”
Open story →Official · shield.ai
Shield AI and Rheinmetall Barzan Advanced Technologies to advance autonomy for ISR on Qatari Unmanned Surface Vessels (USVs)
DOHA, Qatar (October 28, 2026) – Shield AI, a leader in AI-powered mission autonomy, and Barzan Holdings Joint Venture RBAT signed a Memorandum of Understanding (MoU) at Milipol Qatar 2026 to explore the integration of Shield AI’s Hivemind autonomy software into Qatari-designed maritime autonomous defense and security solutions. This strategic partnership will build on established local capabilities in advanced maritime technologies, combining RBAT’s indigenous engineering expertise with Shield AI’s autonomy solutions into Barzan Holdings solutions. Shield AI and RBAT will work closely to explore integration of Hivemind autonomy software, leveraging the combined expertise of both companies and building upon Qatar’s established engineering capabilities and technological strengths. Mimi Shalash, senior director for Hivemind at Shield AI, welcomed the MoU:
Open story →Official · shield.ai
The Mind Behind the Mission: Can You Trust Autonomy to Decide What Happens Next?
Following our blog on Autonomy Factories, this is the second in our series exploring autonomy. An unmanned aircraft is tracking a vehicle during an intelligence, surveillance, and reconnaissance mission. The vehicle disappears beneath the tree line. As the aircraft searches the surrounding terrain, its communications link is disrupted and the operator loses contact. The operator can no longer intervene, but the mission must continue. The aircraft’s mission autonomy software, or autonomous pilot, must decide what to do next based on the objectives and the information available. In that moment, the operator must trust the autonomous pilot to carry out the mission safely and effectively. This raises a question increasingly central to autonomous systems: how do you establish that trust when you cannot predict exactly what the aircraft will do next?
Open story →Official · shield.ai
Sovereignty in Simulation
A training center has been running its simulator suite for eighteen months. Now operators are preparing for a mission in a new region. The intelligence office has fresh terrain and threat data, some of it too sensitive to leave the building. Until the simulators are updated with that data, pilots and sensor operators cannot practice in the new environment. Can the training center make that update with its own people and its own data, or does it need to wait on someone else? Before buying a training system, a program manager needs to know what the team can change on its own after delivery. Operators can only prepare for what the simulator shows them, and what it shows comes from the data and assumptions loaded into it. As the last post in this series argued, whoever controls those inputs holds real authority over training readiness. When the terrain no longer matches the latest intelligence, the program needs to be able to fix it before operators rehearse on it.
Open story →Official · shield.ai
Six Weeks to Sea: Hivemind Brings Thunder Tiger’s SeaSharks Together
As an island nation, maritime awareness is essential to Taiwan’s national security. Its coastline stretches more than 1,500 kilometers across the main island and outlying islands, so keeping watch over the surrounding waters requires vessels, sensors, and operators spread over a wide area. Autonomous unmanned surface vehicles (USVs) can extend surveillance, but adding more USVs also means operators spend more time telling each vessel what to do. Hivemind is Shield AI’s mission autonomy software that enables unmanned systems to see, think, and act with minimal human input. Most autonomous USVs today focus on individual platform functions, such as navigating along a predefined route, but Hivemind is different. Hivemind is built to manage the mission itself, including how multiple vessels work together as conditions change. Shield AI and Thunder Tiger Corp., a Taiwan-based manufacturer of unmanned systems, partnered to demonstrate this capability, integrating Hivemind aboard Thunder Tiger’s SeaShark 600 and SeaShark 800 USVs. - Progressed from initial software integration to a live maritime demonstration in only six weeks
Open story →