
Staff Engineer, Software (R6331)
Shield AI
San Diego, United States · Full time employee · Robotics Software & Infrastructure
Job Description: As a Staff Software Engineer on the Enterprise Software Engineering team, you will design and build the applications, services, and integrations that keep Shield AI's business running – connecting the systems our…
Apply on Shield AI’s careers page- Company
- Shield AI
- Location
- San Diego, United States
- Workplace
- Remote
- Type
- Full time employee
- Level
- Staff / Principal
- Specialism
- Robotics Software & Infrastructure
- Team
- Enterprise Technology Services
- Salary
- $140K–$210K
- Posted
- 18 October 2026
About the role
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: As a Staff Software Engineer on the Enterprise Software Engineering team, you will design and build the applications, services, and integrations that keep Shield AI's business running – connecting the systems our engineering, manufacturing, supply chain, and finance teams depend on every day. You will work primarily in C#/.NET with React on the frontend, building distributed, message-driven systems in the cloud and bringing AI capabilities into the tools our people use. This is a hands-on, senior engineering role, where you will drive solutions from requirements, system design through deployment and support – sometimes leading a project, and at other times working closely with your teammates on a shared codebase. We move fast, so we are looking for someone who learns quickly, hits the ground running, and is comfortable making sound decisions with incomplete information.