Supervisor - Server Repair Engineering

Position Overview

We are seeking a senior engineering leader to serve as the Supervisor of AI Server Repair Engineering & Process.

Key Responsibilities

• Process Architecture & Definition (Primary Focus):

  • Architect and Author: Design, document, and deploy the end-to-end technical workflow for AI server repair. This includes creating detailed Standard Operating Procedures (SOPs), diagnostic flowcharts, decision trees, and work instructions.
  • Test Plan Development: Define and validate comprehensive test plans and validation criteria for all repaired components and full systems, ensuring they meet strict performance and reliability standards before being returned to service.
  • Tooling & Automation: Identify, develop, and implement diagnostic scripts, software tools, and physical fixtures to improve the accuracy, consistency, and efficiency of the troubleshooting and repair process.
  • Process Control: Establish critical control points within the repair process to ensure quality and gather vital failure data.

• Advanced Engineering Support & Failure Analysis (Primary Focus):

  • Technical Authority: Serve as the ultimate escalation point for the most complex hardware failures that elude standard diagnostic procedures.
  • Root Cause Analysis (RCA): Lead systematic deep dives into new and recurring failure modes. Perform board-level analysis, interpret schematics, and collaborate with the team to isolate the root cause.
  • Engineering Feedback Loop: Act as the primary technical interface between the repair center and core Hardware Engineering/R&D. Consolidate, analyze, and present failure data and RCA findings to influence future product design for improved serviceability and reliability (Design for Serviceability).

• Operational Leadership & Team Enablement:

  • Technical Mentorship: Lead and develop the technical capabilities of the repair team. Provide hands-on training on new products, advanced diagnostic techniques, and established repair processes.
  • Enablement, Not Just Delegation: Empower the team by ensuring they have the processes, tools, and knowledge required to succeed. Focus on removing technical roadblocks and fostering an environment of structured problem-solving.
  • Performance Management: Set clear technical objectives, manage workflow priorities based on engineering needs, and guide the professional growth of team members.

• Data-Driven Continuous Improvement:

  • Analyze Repair Data: Systematically collect and analyze repair data (failure modes, component usage, test yields) to identify trends and opportunities for process optimization.
  • Drive Improvements: Initiate and lead engineering change requests (ECRs) and process improvement projects based on data analysis to enhance repair quality, reduce turn-around time, and lower costs.

Qualifications

• Qualifications & Skills

  • Required Qualifications (Must-Haves):

    • Education: Bachelor’s degree in Electrical Engineering, Computer Engineering, Manufacturing Engineering, or a closely related field.
    • Experience: * 4+ years in a technical engineering role such as Test Engineering, Manufacturing Engineering, Hardware Sustaining, or high-level Repair Engineering.
    • Proven track record of developing and documenting technical processes (SOPs, test plans, work instructions) from scratch in a manufacturing or repair environment.
    • 3+ years in a technical leadership role, mentoring junior engineers or technicians.
    • Technical Expertise:
      • Expert-level ability to read and interpret electronic schematics, board layout files, and product specifications.
      • Strong, hands-on experience with systematic hardware troubleshooting methodologies for complex systems (e.g., servers, networking equipment).
      • Demonstrated proficiency in scripting (Python, Bash, or similar) to automate diagnostic tests and parse data logs.
      • Deep knowledge of server components and architecture, including GPUs, high-speed interconnects (InfiniBand/Ethernet), CPUs, and power systems.

  • Preferred Qualifications (Nice-to-Haves):

    • Master’s degree in Electrical or Computer Engineering.
    • Experience with Design for Manufacturability (DFM) or Design for Serviceability (DFS) principles.
    • Certification and practical application of Lean Manufacturing or Six Sigma methodologies.
    • Experience with analyzing failure and yield data.
    • Hands-on experience with board-level repair techniques (e.g., soldering, BGA rework) is a strong plus.