GPU MLOps Engineer

Molex; Fremont (CA); On-site; USD 200,000 - 280,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Retirement

Paid vacation/time off

Educational assistance

Infertility assistance

Paid parental leave

Job summary

Molex is seeking an experienced GPU- MLOps Engineer to own the Azure platform layer end-to-end, deploying AI/ML models, provisioning and managing GPU compute, and securing the environment. You will optimize costs for our engineering AI/ML platform and work with data scientists, ML engineers, and LLM engineers.

In this role, you will build CI/CD pipelines, scale Azure GPU compute, automate retraining, and enforce access control and secrets management across the stack.

Qualifications

• 10+ years in MLOps, DevOps, or Cloud Infrastructure.
• Strong Azure experience - GPU compute (ND/NC), AKS, 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).
• Hands-on experience with model registries and experiment tracking (Azure ML + MLflow).

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) 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.

Skills

MLOps

DevOps

Cloud Infrastructure

Azure

Azure GPU

AKS

Docker

Terraform

Security

Cost Optimization

Tools

Azure ML

MLflow

Terraform

Job description

Your Job

The GPU- MLOps Engineer 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.

Our Team

Established in 1938, Molex delivers comprehensive electronic solutions for various markets, including data communications, telecommunications, consumer electronics, industrial, automotive, commercial vehicle, 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 to keep everything running smoothly.

What You Will Do

• 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.

Who You Are (Basic Qualifications)

• 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).

What Will Put You Ahead

• 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.

Compensation

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.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location.

Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.

Who We Are

As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications. The thousands of innovators who work for Molex have made us a global electronics leader. Our experienced people, groundbreaking products and leading-edge technologies help us deliver a wider array of solutions to more markets than ever before.

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Our Benefits

Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most.

• medical
• dental
• vision
• flexible spending and health savings accounts
• life insurance
• ADD
• disability
• retirement
• paid vacation/time off
• educational assistance
• infertility assistance
• paid parental leave
• adoption assistance

Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

Equal Opportunities

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify.