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17 d agofound 1 h ago

Staff Engineer, Platform (R6019)

Shield AI·San Diego, California·via Lever

Posted by Shield AI on 22 September 2026, 17 days ago. Still on their Lever board when we checked 1 h ago.

Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationSan Diego, California
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-22
Found vialever, direct from their system

We saw it 18 days after it went up.

The posting, as the company wrote it
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 Platform Engineer to contribute to the Platform solutions and infrastructure that power Forge, the AI Factory. These components provide distributed runtime capabilities that enable teams to reliably orchestrate workloads, process data, and underpin the workflows of building an AI Pilot.  The Forge Platform Engineering team provides Kubernetes-native capabilities that support autonomy development, simulation, testing, training, evaluation, deployment, and operational workflows across commercial cloud, on-premises infrastructure, sovereign deployments, edge environments, and fully air-gapped systems.  This is a hands-on technical leadership role. You will define platform architecture, implement production software, establish reusable operational patterns, and partner with teams across autonomy, ML, simulation, test, infrastructure, and product engineering. Success requires balancing developer productivity, reliability, extensibility, performance, portability, and long-term operational maintainability.

Copied from Shield AI’s own board, not rewritten. Original ↗

Also open at Shield AI

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