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Shield AI
Ai Resume Optimizer

Supervisor, Desktop Engineering (R4768)

United States
Full Time On-site

Summary

Job Description

The Desktop Engineering Supervisor oversees the engineering, automation, and lifecycle management of all corporate endpoints, ensuring a secure, reliable, and scalable end-user computing environment. This role blends hands-on technical expertise with leadership responsibilities, guiding a team of Desktop Engineers and Support Analysts while driving modernization initiatives across device management, imaging, patching, software deployment, and endpoint security.
The ideal candidate is a forward-thinking technical leader with strong communication skills, deep experience in modern endpoint management platforms, and a passion for automation, standardization, and continuous improvement.

Required qualifications:

  • 5+ years of experience in Desktop Engineering, Endpoint Management, or EUC roles.
  • 2+ years in a technical lead or mentorship capacity.
  • Deep experience with modern endpoint management platforms (Intune, Jamf, SCCM/MECM).

Preferred qualifications:

  • Experience with Conditional Access, identity-driven security, and Zero Trust concepts.
  • Familiarity with endpoint analytics, telemetry, or monitoring tools.
  • Experience with virtual desktop platforms (Azure Virtual Desktop, Citrix, VMware Horizon). 
  • Relevant certifications (Microsoft, Jamf, ITIL, CompTIA).
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
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About Shield AI

Shield AI

Shield AI is a defense technology company building autonomous AI systems for aircraft, drones, and intelligent mission software used in complex military environments. Founded in 2015, the company is best known for developing Hivemind, an AI pilot system that enables aircraft and drones to operate autonomously in contested and GPS-denied environments, supporting U.S. and allied defense missions.

For job seekers, Shield AI offers opportunities across advanced fields including artificial intelligence, robotics, software engineering, autonomy systems, aerospace engineering, embedded systems, and mission operations. The company is especially attractive to engineers, AI researchers, and defense professionals who want to work on real-world autonomous systems that are actively being deployed in operational military scenarios.

Unlike traditional defense contractors, Shield AI operates with a startup-style engineering culture focused on rapid experimentation, real-world testing, and fast deployment of autonomous capabilities. Employees work on tightly integrated AI and robotics systems that combine perception, decision-making, and control, enabling platforms to operate without direct human input in highly complex environments.

As modern warfare increasingly shifts toward autonomous systems, distributed sensing, and AI-enabled decision-making, Shield AI continues to grow as one of the most prominent companies in next-generation defense technology. For professionals seeking to build cutting-edge autonomy systems with direct mission impact, Shield AI stands out as a leading employer in the defense innovation ecosystem.

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