---
title: 'Staff Engineer, Digital Infrastructure (R5602) at Shield AI'
canonical: 'https://feeny.ai/job/staff-engineer-digital-infrastructure-r5602-shield-ai-london-bkagx0q3gxn3'
type: 'job'
last_seen: '2026-09-12'
---

# Staff Engineer, Digital Infrastructure (R5602) at Shield AI

- **Company:** Shield AI
- **Location:** London, United Kingdom
- **Employment:** internship
- **Work type:** onsite
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/shieldai/0d911732-84ee-4641-b22d-e5021e270240

## Job description

Job Description:

ShieldAI has developed a software factory for building, optimizing, evaluating, and analyzing autonomy solutions. The technology has drawn significant interest from industry. We are currently working with these customers to investigate modern warfighting problems and develop/deliver solutions. This position will support deploying, integrating, maintaining, and developing components of this factory for our autonomy teams and customers within isolated/specialized environments

What you'll do:

- Work with a small team of engineers and administrators
- Integrate our AI training factory and tooling onto new hardware
- Provide software updates and configuration management between various isolated environments
- Ensure proper operation of our AI training factory and tooling
- Coordinate with autonomy teams to build and meet requirements
- Solve challenging and important problems

Required qualifications:

- Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
- 3+ years demonstrated experience with cloud computing solutions and architecture, with a focus on Kubernetes and container orchestration
- Experience with supporting C++ or Python-based applications
- Solid understanding of Linux/Unix-based systems (specifically in networking and experience in designing and implementing networked applications)
- BS/MS in Computer Science, similar degree, or equivalent practical experience
- Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
- Experience debugging/troubleshooting deployed, distributed problems
- Experience developing and deploying automation tooling (ex. Ansible, Chef, Puppet)
- Must be available to support onsite in our London office location.

## #LI-LD2

#LD

## About Shield AI

## Company Overview
- **One-liner**: Shield AI builds AI pilots and autonomous systems for military aircraft to protect service members and civilians.
- **Entity Type**: Private (Series G, venture-backed)
- **Headquarters**: San Diego, California, United States
- **Founded**: 2015
- **Founders**: Brandon Tseng, Ryan Tseng, Andrew Reiter

## Core Business
- Primary industry/industries: Defense technology, artificial intelligence, autonomous systems, aerospace
- Target customers: U.S. Department of Defense, allied nations’ military forces (B2G / Government)
- Mission or purpose statement: “Protect service members and civilians with intelligent systems.”

## Products & Services
- **Hivemind**: A combat‑tested, modular autonomy stack for aircraft – self‑driving technology for drones, jets, and helicopters. Includes path‑planning, mapping, state‑estimation, computer vision, and reinforcement learning. Type: Software (AI/autonomy).
- **V‑BAT**: A vertical take‑off and landing (VTOL) unmanned aerial system (UAS) designed for persistent ISR and strike missions. Type: Hardware (drone).
- **X‑BAT**: An advanced unmanned aircraft system with extended endurance and payload capacity, built for multi‑domain operations. Type: Hardware (drone).
- **Hivemind Vision Systems**: Computer‑vision and sensor‑fusion capabilities integrated into Hivemind for GPS‑denied environments. Type: Software + sensors.
- **Hivemind Enterprise**: A deployable version of Hivemind for third‑party platforms and commercial applications. Type: Software.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company). Total funding raised: $3.6B (as of Series G in March 2026).
- **Key Metric**: Annual Revenue ~$21.7M (estimated, private) | Total Funding $3.6B (including $2B Series G led by JP Morgan Chase and Advent International, March 2026).
- **Notable Investors/Partners**: JP Morgan Chase, Advent International, Blackstone, Riot Ventures, SnowPoint Ventures, Disruptive (55+ investors total). Strategic partners include U.S. DoD and allied defense forces.
- **Growth Signals**: Headcount grew 68.3% YoY to 1,283 employees; 338 active job postings (+57.2% YoY); operates in 5 countries (U.S., Australia, UAE, Norway, Ukraine); recent acquisitions of Sentient Vision Systems (2024), Heron Systems, MARTIN UAV.

## Competitive Advantages
- **Combat‑proven autonomy**: Hivemind has been tested in live military operations, providing a first‑mover advantage in contested, GPS‑denied environments.
- **Full‑stack integration**: Combines software (AI pilot), hardware (V‑BAT, X‑BAT), and sensor systems, creating a tightly integrated product ecosystem.
- **Cross‑functional engineering culture**: Engineers work across AI, robotics, aerospace, and defense – not siloed – enabling rapid iteration and field deployment.
- **Top talent pipeline**: Employees drawn from Lockheed Martin, Northrop Grumman, Raytheon, Amazon, Anduril, and other leading defense/tech firms.

## Strategic Focus
- **Scale AI pilots across all domains**: Extend Hivemind from aircraft to ships, satellites, and ground vehicles (“every military asset”).
- **International expansion**: Growing presence in Australia, Europe, and Middle East via mission autonomy centers and partnerships.
- **Deepen autonomy stack**: Continued investment in reinforcement learning, simulation, and computer vision to maintain leadership in contested‑environment autonomy.

## Why Work Here
- **Mission‑driven work**: Directly contribute to protecting service members and civilians with cutting‑edge AI and robotics.
- **Cross‑functional teams**: Engineers collaborate across disciplines (AI, hardware, software, systems) on real‑world defense challenges.
- **Benefits**: Excellent medical coverage, mental health EAP, paid parental leave, pet insurance, flexible work hours, gym discounts (SD) / on‑site gym (DC), free parking, competitive compensation, 401k with match, stock benefits.
- **Work policy**: Flexible work hours; some offices (e.g., San Diego HQ, Arlington, DC) have on‑site facilities. Remote/hybrid options available depending on role.
- **Growth trajectory**: Rapidly scaling (68% headcount growth) with hundreds of open roles across engineering, operations, and program management.

## Sources
1. [shield.ai/about](https://shield.ai/about/)
2. [shield.ai/careers](https://shield.ai/careers/)
3. [LinkedIn – Shield AI](https://www.linkedin.com/company/shield-ai)
4. [CBInsights – Shield AI](https://www.cbinsights.com/company/shield-ai)
5. [Lever – Shield AI Jobs](https://jobs.lever.co/shieldai)

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- [Staff Platform Engineer](https://feeny.ai/job/staff-platform-engineer-shield-ai-san-diego-t739q0cnehtg) — San Diego, CA
- [Principal Engineer, Fluid & Thermal Systems (R5620)](https://feeny.ai/job/principal-engineer-fluid-thermal-systems-r5620-shield-ai-seattle-jzpbwfsaek36) — Seattle, WA
- [Director, Mission Systems](https://feeny.ai/job/director-mission-systems-shield-ai-washington-96nmd081cj08) — Washington, DC
- [Staff Engineer, Safety - X-BAT (R5844)](https://feeny.ai/job/staff-engineer-safety-x-bat-r5844-shield-ai-seattle-qmh74thwt7xs) — Seattle, WA
- [Senior Production Planner, Development Programs (R5277)](https://feeny.ai/job/senior-production-planner-development-programs-r5277-shield-ai-seattle-nj57x3fgq8b7) — Seattle, WA
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- [Engineer II, Future Concepts (R5910)](https://feeny.ai/job/engineer-ii-future-concepts-r5910-shield-ai-washington-p66bm4ktv41m) — Washington, DC