2 months 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
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.