Skills
AI
Cloud
Distributed Computing
Distributed Systems
Distributed Training
GPU
Helm
Infrastructure as Code
Kubernetes
Linux
Nice to have
Machine Learning
Networking
Full job description
Overview
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
Machine-learning engineers need reliable access to GPUs to train and evaluate models. Shield AI’s AI Factory provides shared compute and development tools for these workflows, both for our engineers and for customer deployments.
We are looking for a Platform Engineer to make that compute platform easier to use, more reliable and more efficient. You will write software, improve how teams share GPUs, help developers troubleshoot workloads and use performance data to guide capacity growth. This is a hands-on software and platform engineering role.
Apply on company site
Opens Shield AI’s own application page in a new tab.