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Posted 5 h ago
Staff, Platform Engineer AI Compute (6034)
Posted by Shield AI on 2 November 2026. Still on their Lever board when we checked 1 h ago. Half of Shield AI's roles come down within 45 days.
What the posting is about
Develop backend services to manage model artifacts and connect training runs to data, code, and configuration. Streamline machine-learning engineers' workflows by reducing time spent on result reproduction and experiment tracking.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationSan Diego, California
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-11-02
Found vialever, direct from their system
We had it within the hour it went up.
The posting, as the company wrote it
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.
Copied from Shield AI’s own board, not rewritten.
Also open at Shield AI
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