Shield AI
Senior Staff Engineer, System Architect (R5843)
San Diego, CA · On-site · Senior
- Discipline
- Systems
- Industry
- Defense
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Hivemind Platform Division
Senior System Architect for Hivemind Forge ecosystem, owning architecture across AI-enabled autonomy development tools, data infrastructure, simulation, and deployment environments; drives architectural integrity across enterprise cloud, HPC, and secure/disconnected deployments.
Required
- system architecture
- AI/ML workflows
- Hivemind Forge
- developer tools
- data infrastructure
- simulation
- cloud
- high-performance computing
Preferred
- experience with autonomous systems
- vision-language models
- foundation models
- GenAI
- VLMs
- VLA models
- world models
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:
Shield AI is seeking an experienced System Architect to own the architecture of Hivemind Forge – an AI development ecosystem and the segment of Hivemind that enables developers to build, train, tune, evaluate, optimize, and deploy learning-based autonomy solutions. You will join the Systems Engineering, Integration, & Test (SEIT) team in the Hivemind Enterprise organization.
This ecosystem combines developer tools, APIs, data infrastructure, simulation, AI/ML workflows, and GenAI-enabled automation to accelerate the delivery of autonomous capabilities using Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, world models, foundation models, and other applied AI technologies.
As the responsible architect, you will define the comprehensive architecture for this product area, maintain architectural integrity across development teams, and ensure the ecosystem can operate across enterprise cloud, high-performance computing, and secure or disconnected deployment environments. You will work at the intersection of software architecture, AI/ML, data architecture, systems engineering, developer experience, and Generative AI-enabled engineering to create an ecosystem that dramatically reduces the time required to transform mission needs and data into deployable, intelligent autonomous capabilities.
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