AI summary
The Staff Engineer will design and operate Cloud-native platforms and distributed systems for the Forge AI Factory, involving hands-on technical leadership and collaboration with various teams.
Job Description
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.
Responsibilities
What you'll do:
Key Outcomes:
Why join us:
Platform Engineering is foundational to how Shield AI develops, tests, evaluates, deploys, and operates autonomy systems. This role offers the opportunity to shape the distributed systems foundation used by engineering teams across the company and delivered into demanding customer environments.
Your work will determine how reliably data moves through the organization, how services coordinate across complex environments, how teams execute and recover long-running workflows, and how operators understand the health of mission-critical systems. You will work at the intersection of Kubernetes, distributed computing, event-driven architecture, data processing, networking, observability, and autonomy.
You will help establish reusable platform capabilities that allow specialized teams—including autonomy, simulation, test, ML Ops, and application engineering—to move faster while building on dependable operational foundations.
Requirements
Required qualifications:
Preferred qualifications:
About the job
- Posted on
- Sep 22, 2026
- Job type
- Full-time
- Location
- San Diego, CaliforniaOn-site
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