Staff, Platform Engineer AI Compute (6034)
Shield AI
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- Pay
- $200K to $300K
- a year
- Location
- San Diego, CA
- Work style
- On-site
- Job type
- Full time
- Posted
- Nov 2
- 1 day ago
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Career path
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About the company
Shield AI
Computer software · 501 to 1,000 employees
Shield AI’s AI Factory provides shared compute and development tools for these workflows, both for our engineers and for customer deployments.
What you'll do
- Write software
- Improve how teams share GPUs
- Help developers troubleshoot workloads
- Use performance data to guide capacity growth
What you need
- Experience building and supporting production Kubernetes platforms, including GPU or distributed computing workloads. Strong software engineering skills in Python, Go or a comparable language. Experience automating infrastructure deployment, configuration and upgrades. Practical Linux, networking and storage troubleshooting skills. Experience with shared resource scheduling, access controls or workload isolation. Ability to work directly with machine-learning engineers, understand their workloads and turn recurring problems into maintained platform capabilities.
- Experience with Run:ai or comparable GPU scheduling and resource-management systems. Familiarity with distributed training and tools such as Ray or PyTorch. Experience delivering on-premises or air-gapped platforms, or contributing to open-source infrastructure.
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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.