11 days ago
London, United KingdomStaff+
Responsibilities
- Work with a small team of engineers and administrators.
- Integrate AI training factory and tooling onto new hardware.
- Provide software updates and configuration management across isolated environments.
- Ensure proper operation of the AI training factory and tooling.
- Coordinate with autonomy teams to build and meet requirements.
- Develop and deploy automation tooling.
- Debug and troubleshoot deployed, distributed problems.
Requirements
- Typically requires 7+ years of related experience with a bachelor’s degree, 6+ years with a master’s degree, 4+ years with a PhD, or equivalent work experience.
- Requires 3+ years of experience with cloud computing solutions and architecture, focused on Kubernetes and container orchestration.
- Experience supporting C++ or Python-based applications.
- Solid understanding of Linux/Unix systems, including networking and designing and implementing networked applications.
- BS/MS in Computer Science or a similar degree, or equivalent practical experience.
- Experience debugging and troubleshooting deployed, distributed systems.
- Demonstrated ability to work hard, be a trustworthy teammate, maintain high standards, and treat others kindly.
Benefits
- Must be available to provide onsite support at the London office location.
Tech Stack
Categories
About Shield AI
Founded in 2015, 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.