Server Repair Engineering Supervisor

Key Responsibilities

• Lead a team of test engineers performing diagnostics, validation, and troubleshooting on AI server hardware and software.
• Evaluate AI servers for performance, reliability, and functionality using advanced diagnostic tools and methodologies.
• Develop, refine, and automate testing scripts and procedures for server systems and components.
• Collaborate closely with Product Development, Quality Assurance, and Engineering teams to identify issues and drive resolution during testing and validation stages.
• Analyze, design, and improve operational workflows for testing, repair, refurbishment, and upgrades of AI servers.
• Conduct root cause analysis for process-related failures and establish robust corrective and preventive action plans.
• Perform capacity planning to support scalable testing and service operations.
• Supervise and mentor the Test Engineering (TE) and Process Engineering (PE) teams, providing guidance, coaching, and technical expertise.
• Allocate resources, establish project priorities, and ensure timely completion of testing and process-related deliverables.
• Maintain compliance with quality, environmental, and safety standards (ISO, internal AI standards, regulatory guidelines).
• Communicate operational updates, challenges, risks, and improvement plans to leadership and cross-functional partners.
• Serve as the point of escalation for complex technical or operational issues within the service center.

Education & Experience

• Bachelor’s degree in Electrical Engineering, Industrial Engineering, Computer Science, or related field required; Master’s degree preferred.
• 8–10 years of relevant experience in test engineering, process engineering, or hardware/software system operations.
• Minimum 3 years of supervisory or technical leadership experience.
• Strong preference for experience with AI servers, high-performance computing systems, or advanced enterprise server environments.

Preferred Certifications

• EMC Proven Professional or comparable server/hardware certifications.
• Six Sigma Green Belt or Black Belt certification (process optimization).
• Certifications related to AI/ML hardware or data workflows (e.g., Deep Learning Institute credentials).

Essential Skills

• Expertise in server diagnostics and troubleshooting for CPUs, GPUs, memory, storage, power supplies, and other critical components.
• Strong working knowledge of AI server platforms (e.g., Dell PowerEdge, NVIDIA DGX) and related AI/ML frameworks such as TensorFlow or PyTorch.
• Proficiency with process optimization methodologies (Six Sigma, Lean, Kaizen).
• Experience with test automation tools and scripting languages (Python, MATLAB, LabVIEW, etc.).
• Familiarity with server management platforms such as iDRAC and IPMI, and operating systems including Linux and Windows Server.
• Ability to support high-performance computing environments and advanced AI server technologies.
• Strong analytical, problem-solving, communication, and continuous improvement skills.