Stateside Spec Engineering jobs in the United States

Shield AI

Manager, Software Engineering (R5966)

San Diego, CA · On-site · Manager

Discipline
Software
Industry
Defense

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Hivemind Enterprise Division

Two-sentence spec-sheet tone. Place, craft, constraints.

Required

  • engineering management
  • full-stack
  • APIs
  • SDKs
  • customer-facing applications
  • architecture guidance
  • production operations
  • secure systems

Preferred

  • delivery leadership
  • roadmap ownership
  • hands-on coding
  • technical direction
  • team building

Employer description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Hivemind is looking for an experienced Engineering Manager to lead our Shared Services Engineering team. 
The Shared Services team is a product-oriented, full-stack engineering team that builds and operates common services, SDKs, APIs, and customer-facing applications connecting Shield’s products. These capabilities reduce duplicated engineering and help create a consistent Shield experience across product types. 
You will lead the team as it identifies shared needs, establishes ownership, and delivers reliable, secure, and well-supported solutions. You will treat the team’s capabilities as products, maintaining a roadmap informed by external customers and internal engineering teams. 
This is a technical, hands-on management role. You will guide architecture and delivery, remain engaged in complex engineering decisions, and build a team that owns its systems from design through production operation. 

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