Staff Engineer, Digital Infrastructure (R5602)

Posted Yesterday
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London, Greater London, England, GBR
In-Office
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Our mission is to protect service members and civilians with intelligent systems.
The Role
Deploys, integrates, maintains, and develops AI training factory components in isolated environments. Responsibilities include integrating tooling onto hardware, managing software updates and configuration across environments, ensuring platform reliability, coordinating with autonomy teams, troubleshooting distributed systems, and developing automation. The role requires cloud, Kubernetes, Linux networking, C++ or Python application support, and onsite availability in London.
Summary Generated by Built In
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.

Skills Required

  • Minimum 7 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 4 years with a PhD, or equivalent work experience
  • 3+ years of experience with cloud computing solutions and architecture, focused on Kubernetes and container orchestration
  • Experience supporting C++ or Python-based applications
  • Solid understanding of Linux or Unix systems, including networking and designing and implementing networked applications
  • Bachelor's or Master's degree in Computer Science, a similar field, or equivalent practical experience
  • Experience debugging and troubleshooting deployed distributed systems
  • Experience developing and deploying automation tooling such as Ansible, Chef, or Puppet
  • Availability to provide onsite support at the London office
  • Demonstrated ability to work hard, be trustworthy, maintain high standards, and collaborate respectfully

What the Team is Saying

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The Company
HQ: San Diego, CA
Year Founded: 2015

What We Do

At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.

Why Work With Us

Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQSan Diego, CA
United Arab Emirates
Arlington, VA
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Frisco, Texas
Ukraine
London
Melbourne, Victoria
Taiwan, Province of China
Waltham, MA
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