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Senior SERDES Customer System Engineer

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Onsite

Senior SERDES Customer System Engineer

MediaTek

Senior SERDES Customer System Engineer

Skills

PythonMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Hsinchu, North District, Hsinchu City, Taiwan

Work mode:

Onsite

Published on:

11 August 2026

What they need


We are seeking a Senior Customer System & SERDES Engineer to drive system-level debugging and customer issue resolution for 200–400G high-speed interfaces (SERDES, PCS/PMA). You will own end-to-end issue analysis—from triage to root cause and closure—collaborating across cross-functional teams and directly with customers. A key aspect of this role is scaling our debugging operations by building AI-assisted tools (RAG/LLM, log analysis pipelines) and identifying recurring failure patterns. While AI and automation are key enablers, the core focus remains hands-on system debugging and deep technical ownership.

Main Requirements and Qualifications

  • Strong system-level debugging experience in complex hardware/software systems
  • Hands-on experience with high-speed interfaces such as SERDES, PCS/PMA, Ethernet, PCIe, or similar high-speed communication systems
  • Experience analyzing system logs, failure data, or large-scale engineering datasets
  • Strong understanding of system bring-up, validation, or product-level debugging flows
  • Proven ability to perform end-to-end root cause analysis of complex system issues
  • Ability to work across multiple engineering domains (system, firmware, software, design, validation)
  • Strong ownership mindset and ability to drive technical issues to closure
  • Experience working directly with customers or external stakeholders
  • Strong communication skills and ability to explain complex technical issues clearly
  • Ability to coordinate across global or cross-functional engineering teams
  • Experience in semiconductor, networking, or high-speed interconnect products
  • Familiarity with scripting languages (Python, Shell, etc.) for debugging or automation
  • Experience building engineering tools, dashboards, or internal utilities
  • Exposure to AI/ML concepts, especially RAG, LLMs, or knowledge-based systems (not required but a plus)
  • Interest in improving engineering productivity through automation and AI-assisted

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