Shield AI
Staff Engineer, Platform (R6019)
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 Enterprise Division
Shield AI seeks a Staff Platform Engineer to define platform architecture and implement production software powering Forge, an AI Factory, with Kubernetes-native capabilities across cloud, on-prem, sovereign, and air-gapped environments; role emphasizes technical leadership, reliability, portability, and collaboration across autonomy, ML, simulation, test, and infrastructure teams.
Required
- Kubernetes-native platform engineering
- distributed runtime capabilities
- production software
- platform architecture
- operational patterns
- autonomy, ML, simulation, test, infrastructure collaboration
Preferred
- cloud infrastructure
- edge environments
- air-gapped systems
- on-premises infrastructure
- sovereign deployments
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 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.
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