What you'll do:
Work with a small team of engineers and administrators
Integrate our AI training factory and tooling onto new hardware
Provide software updates and configuration management between various isolated environments
Ensure proper operation of our AI training factory and tooling
Coordinate with autonomy teams to build and meet requirements
Solve challenging and important problems
Required qualifications:
Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
3+ years demonstrated experience with cloud computing solutions and architecture, with a focus on Kubernetes and container orchestration
Experience with supporting C++ or Python-based applications
Solid understanding of Linux/Unix-based systems (specifically in networking and experience in designing and implementing networked applications)
BS/MS in Computer Science, similar degree, or equivalent practical experience
Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
Experience debugging/troubleshooting deployed, distributed problems
Experience developing and deploying automation tooling (ex. Ansible, Chef, Puppet)
Must be available to support onsite in our London office location.
Required Skills
PythonKubernetesRustC++
About Shield AI
AI-powered defense technology for autonomous aircraft and robotics.