AI Enabled Devops Engineer

Introduction

As a Hardware Developer at IBM, you’ll get to work on the systems that are driving the quantum revolution and the AI era. Join an elite team of engineering professionals who enable IBM customers to make better decisions quicker on the most trusted hardware platform in today’s market.

Your Role And Responsibilities

We are part of a world-class development team that pioneers industry-leading hardware for IBM POWER Systems servers including Storage, Quantum, and IBM Research systems.

Responsibilities

• Provide technical programming and automation support across all aspects of hardware development for our server products.
• Developing and maintaining custom software tools, integrating AI and machine learning capabilities into engineering workflows, supporting CI/CD pipelines, and managing development and validation environments.
• Partner with teams including electrical, mechanical, thermal, socket, module, and system development, as well as supporting areas such as project management, tools, and profit engineering.
  
  

• Demonstrated experience (3+ years) in programming languages such as Python, JavaScript, or similar scripting languages
• Strong understanding of Windows and Unix/Linux operating systems, including file systems, basic networking, and scripting environments
• Troubleshooting skills to diagnose and resolve technical issues related to automation, development environments, and tool support
• Strong interpersonal skills to effectively work across a wide range of engineering teams with varying technical backgrounds and cultures
• Must be effective working independently as well as in a highly collaborative, fast-paced team environment
• Self-starter with the ability to prioritize tasks, independently drive solutions, and deliver results with minimal supervision
• Strong analytical and problem-solving skills with high attention to detail, especially in identifying root causes and optimizing workflows
  
  

• Experience with AI/ML frameworks (such as TensorFlow, PyTorch, or OpenAI API) and integrating AI-based solutions into engineering workflows
• Familiarity with DevOps practices such as Continuous Integration/Continuous Deployment (CI/CD) and version control systems like Git
• Exposure to hardware development environments (electrical, mechanical, thermal, module, or manufacturing support)
• Experience developing or supporting engineering automation tools, dashboards, or data visualization system.
• Knowledge of server hardware, PCB design processes, mechanical design, or manufacturing workflows is a plus