Staff Silicon Product Engineer, Yield & Test Optimization

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$130,400–$195,600 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday
Closes
Sep 1, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k
This role $163k
$118k most similar roles pay here $247k

This role pays less than 80% of similar roles. Most pay $171,000–$216,250 — the shaded band above. At the midpoint, this role pays about $163k versus about $194k 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 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Staff Silicon Product Engineer, Yield & Test Optimization

Staff Silicon Product Engineer – Yield & Test Optimization joins the Product Engineering team to ensure microprocessor availability through cost, quality, and time-to-market optimizations. This role involves pre-silicon activities such as developing end-to-end characterization test plans and identifying coverage holes, alongside post-silicon responsibilities like leading cross-functional debug across Design, Platform, and Fab teams. The engineer will perform yield analysis to improve supply, analyze part failures to enhance test flows, and conduct characterization of new silicon designs and process technologies. Key technical requirements include proficiency in Windows and Unix, semiconductor fabrication knowledge, device physics, and modern computer architecture. Candidates should possess skills in statistical analysis using JMP or similar tools, ATE and SLT test methodologies, and experience with Python and pandas for data analysis to solve complex manufacturing and quality challenges.

What you'll do

  • Develop end-to-end characterization test plans and identify coverage holes in test flows.
  • Lead cross-functional debug efforts across Product Engineering, Design, Platform, Test, and Fab teams.
  • Analyze characterization and yield data to optimize test flow for cost and quality.
  • Drive yield improvements through detailed analysis of production test results.
  • Perform characterization and debugging of new silicon designs and process technologies.
  • Analyze part failures to implement specific improvements to the test flow.
  • Optimize test methodologies to ensure high product quality and reduced manufacturing costs.

What we're looking for

  • Candidates must possess a BS/MS in Electrical Engineering or an equivalent degree.
  • Proven engineering experience in relevant industries is preferred.
  • Knowledge of semiconductor fabrication and device physics is required.
  • Knowledge of modern computer architecture is required.
  • Experience with ATE and SLT test methodologies or equivalent is preferred.
  • Proficiency in Windows and Unix operating systems is required.
  • Data analysis skills using tools like Pareto, statistical analysis, and JMP are preferred.
  • Python and pandas experience for data analysis is a plus.

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