Shield AI
Principal Engineer, Edge Applications & Mission Systems (R6245)
$220K–$330K
San Diego, California · On-site · Principal · Full-time · Posted Oct 17, 2026
- Experience
- 15+ years of professional software engineering experience (or equivalent record of technical depth and impact); 5+ years of technical leadership.
- Education
- Bachelor’s or advanced degree in Computer Science, Computer Engineering, Robotics, or a related discipline, or equivalent practical experience.
About the job
Leads architecture, implementation, and customer deployment of an extensible edge application platform for autonomous systems, including ground control, mission management, fleet operations, and external defense-system integration.
What you'll do
- Define platform architecture and technical roadmap across operator applications, services, mission data, integrations, and edge deployments.
- Guide customer-extensible GCS, C2, BMS interoperability, fleet management, and operator workflows, including AI-assisted workflows.
- Lead products from requirements through acceptance, deployment, sustainment, and field-informed improvement.
What they ask for
- 15+ years of professional software engineering experience, or an equivalent record of technical depth and impact.
- 5+ years of technical leadership as a technical lead, architect, Principal Engineer, or equivalent.
- Deep experience developing defense GCS and C2 applications and shipping and sustaining software products for defense customers.
- Bachelor’s or advanced degree in Computer Science, Computer Engineering, Robotics, or a related discipline, or equivalent practical experience.
Nice to have
- Experience with platforms such as Lattice, extensible defense C2/BMS products, or comparable mission-management systems.
- Experience delivering agentic or AI-assisted applications, including workflow orchestration, human-machine teaming, evaluation, and operator supervision.
Pay
USD 220,000–330,000 per year (base salary)
Tools
Lattice
AI focus
Partners with autonomy and AI teams on agentic workflows and defines operator authority, approval boundaries, observability, and evaluation for AI-assisted workflows.
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