Switch Quality Engineer

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CAAustin, TXSecaucus, NJ
Salary
$170,800–$256,200 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday
Closes
Oct 30, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $214k
$124k $270k
below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $140,663–$213,531 — the blue band above. At the midpoint, this role pays about $214k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 491 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 491 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Switch Quality Engineer

The Switch Quality Engineer joins the quality and reliability team to drive supplier and manufacturing excellence for next-generation switch products supporting AI, cloud, and high-performance computing solutions. This role involves partnering with design, assembly, and testing teams to ensure high-quality product releases through the full lifecycle. Key responsibilities include leading data-driven quality improvements, managing supplier engagement, and conducting root cause investigations using 8D, 5-Why, and statistical analysis. The engineer will monitor manufacturing yield, first-pass yield excursions, and field quality performance while managing customer escalations. Required skills include expertise in switch architectures, networking systems, and AI fabric interconnects. Candidates should be proficient in DFx, xFMEA, NUDD, and reliability testing. Technical tools like Microsoft Power BI, Tableau, and JIRA are used to analyze switch telemetry and manufacturing metrics.

What you'll do

  • Drive supplier and internal technical organizations to achieve high-quality product releases through test plan reviews and failure analysis.
  • Coordinate quality activities including issue resolution, part approval, process control, and risk mitigation during NPI.
  • Monitor factory and field nonconformance metrics to drive process improvements and corrective actions for switch products.
  • Lead root cause investigations and implement corrective actions using 8D, 5-Why, and statistical analysis methodologies.
  • Analyze large datasets to identify performance trends and provide actionable recommendations for quality and reliability.
  • Manage field and customer escalations as the primary quality interface with suppliers to drive containment and resolution.
  • Define supplier build report expectations, including quality metrics, yield monitoring, and escalation requirements.
  • Travel to supplier locations to support manufacturing quality initiatives, audits, and continuous improvement activities.

What we're looking for

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Engineering, or a related technical discipline.
  • Deep expertise in networking hardware, supplier quality, and manufacturing processes.
  • Strong technical knowledge of switch systems, AI fabric interconnects, and system-level quality concepts (preferred).
  • Experience applying DFx, xFMEA, NUDD, root cause analysis, statistical process control, and reliability testing (preferred).
  • Experience supporting cloud service providers, hyperscale customers, networking OEMs, or data center networking environments (preferred).
  • Proven experience leading quality excursions and resolving complex manufacturing, supplier, and customer quality issues (preferred).
  • Experience working with Original Design Manufacturers (ODMs) and Contract Manufacturers (CMs) to establish quality requirements (preferred).
  • Experience with Microsoft Power BI, Tableau, JIRA, or similar analytics and reporting tools (preferred).

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