Senior Staff ML Ops Engineer — AI Platform (Kubernetes)

Precision Labs; San Mateo (CA); Hybrid; USD 210,000 - 320,000; Full time

Job summary

Shield AI is seeking a Senior Staff Engineer in San Mateo to define and build the AI Factory Reference Architecture, a Kubernetes-native platform for AI development, training, evaluation, and deployment. You will partner with ML researchers, platform engineers, and autonomy teams to deliver a developer-friendly experience for training and deploying modern AI models.

The role balances researcher productivity, platform simplicity, operational excellence, and long-term maintainability across cloud,

Qualifications

• Experience building Kubernetes-native AI or MLOps platforms.
• Strong knowledge of PyTorch and Hugging Face Transformers.
• Experience with GPU scheduling and distributed training.
• Proficient in Python and Golang.

Responsibilities

• Design and implement AI Factory Reference Architecture.
• Enable researchers with scalable workflows and tooling.
• Build distributed training, simulation, evaluation, and deployment capabilities.
• Develop repeatable deployment with Infrastructure as Code.

Skills

Kubernetes

Python

Golang

Distributed systems

Terraform

Helm

OpenTelemetry

Tools

Terraform

Helm

Docker

Kubernetes

Job description

Shield AI is seeking a Senior Staff Engineer in San Mateo to define and build the AI Factory Reference Architecture, a Kubernetes-native platform for AI development, training, evaluation, and deployment. You will partner with ML researchers, platform engineers, and autonomy teams to deliver a developer-friendly experience for training and deploying modern AI models.

The role balances researcher productivity, platform simplicity, operational excellence, and long-term maintainability across cloud,