GPU MLOps Engineer

Our team, established in 1938, delivers comprehensive electronic solutions for markets including data communications, telecommunications, consumer electronics, industrial, automotive, aerospace and defense, medical, and lighting. You'll join the platform team responsible for the compute, security, and cost backbone that powers our Azure AI/ML engineering tools, partnering closely with data scientists, ML engineers, and LLM engineers.

About the role

As the GPU/MLOps Engineer, you will own the Azure platform layer end-to-end—deploying AI/ML models, provisioning and managing GPU compute, securing the environment, and continuously optimizing cost for our engineering AI/ML platform.

Responsibilities

• Build and maintain CI/CD pipelines (Azure DevOps) for training, validation, versioning, and deployment of ML models.
• Provision and scale Azure GPU compute (ND/NC series) and container infrastructure (AKS/ACI) for training and simulation workloads.
• Automate retraining/redeployment workflows in Azure ML pipelines as new data becomes available.
• Implement access control, identity management, and secrets management (Microsoft Entra ID, Azure Key Vault) across compute, data, and model artifacts.
• Monitor and optimize GPU/cloud spend (Azure Cost Management) and build cost visibility dashboards in Power BI.

Requirements

• 10+ years in MLOps, DevOps, or Cloud Infrastructure, with real exposure to both ML deployment and cloud infrastructure management.
• Strong Azure experience—GPU compute (ND/NC), Azure Kubernetes Service, containerization (Docker).
• Infrastructure-as-code experience (Terraform or Bicep).
• Solid grasp of cloud security fundamentals (IAM, network security, secrets management).
• Demonstrated experience with cloud cost optimization (right-sizing, autoscaling, spot/preemptible strategies).
• Hands-on experience with model registries and experiment tracking (Azure ML + MLflow).

Skills

• Experience with GPU-heavy workloads specifically (ML training, HPC simulation) rather than general web/app infrastructure.
• Azure certifications (Solutions Architect Expert, Security Engineer Associate).
• Experience with HPC job schedulers (Slurm via Azure CycleCloud).
• Experience supporting engineering simulation tools.

Pay

For this role, we anticipate paying $200,000 - $280,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

Benefits

• Medical, dental, vision, flexible spending and health savings accounts.
• Life insurance, ADD, disability, retirement.
• Paid vacation/time off, educational assistance.
• May include infertility assistance, paid parental leave, and adoption assistance.