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Shield AI

Staff, Platform Engineer AI Compute (6034)

San Diego, CA · On-site · Staff

Discipline
Software
Industry
Defense
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Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Hivemind Enterprise Division

Staff, Platform Engineer AI Compute at Shield AI in San Diego, CA focuses on making the GPU compute platform easier to use and more reliable. The role involves hands-on software and platform engineering to improve resource sharing, troubleshoot workloads, and use performance data for capacity planning.

Required

  • GPU
  • compute platform
  • software
  • platform engineering
  • troubleshoot workloads
  • performance data
  • capacity growth

Preferred

  • machine learning
  • distributed systems
  • DevOps
  • Kubernetes
  • performance optimization
  • data engineering

Benefits

  • medical
  • 401k
  • PTO

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Employer description

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. 

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