Stateside Spec Engineering jobs in the United States

Shield AI

Staff Engineer, Data Platform (R5659)

San Diego, CA · On-site · Staff

Discipline
Software
Industry
Defense

Spec sheet

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

Hivemind Platform Division

Staff Data Platform Engineer to define and build the data foundation of the AI Factory; hands-on technical leadership designing platform architecture, implementing production software, evaluating storage/compute technologies, establishing data-modeling patterns, and collaborating with data-producing/consuming teams.

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:
We are looking for a Staff Data Platform Engineer to help define and build the data foundation of the AI Factory. 
The Data Platform provides a unifying, knowledge-graph-centered API layer for human and agentic workflows. It connects configurations, requirements, software versions, test executions, files, signals, training data, and results through stable identities and typed relationships. It also provides consistent access to the storage and compute systems behind those data products. 
This is a hands-on technical leadership role. You will design platform architecture, implement production software, evaluate storage and compute technologies, establish data-modeling patterns, and work directly with teams collecting and consuming mission-critical data. Success requires balancing developer productivity, semantic clarity, operational reliability, system performance, portability, and long-term maintainability. 

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