| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
55 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

As a Senior Hardware Engineer specializing in device yield at Microsoft Quantum, you will play a pivotal role in advancing the company’s quantum hardware roadmap by leveraging your expertise in superconductor and semiconductor physics. Your daily responsibilities include conducting deep analysis of device performance across temperature regimes using statistical techniques, developing scripts to transform experimental data into strategic guidance for yield improvement, and designing test structures to validate advanced design rules. You will collaborate with cross-functional teams to establish performance benchmarks, resolve circuit-level challenges, and enhance manufacturability, while also contributing to the development of process design kits (PDKs) and documentation. The role requires proficiency in high-level programming languages like Python and Matlab, familiarity with EDA tools such as Cadence Virtuoso and Synopsys, and experience with MES platforms for tracking work-in-progress in a fabrication environment.

What you'll do

  • Conduct deep analysis of device performance across temperature regimes using statistical techniques.
  • Develop scripts and applications to transform experimental data into strategic guidance for yield improvement.
  • Design test structures and programs to validate advanced design rules for superconducting devices.
  • Collaborate with hardware teams to maintain and evolve PDKs and documentation.
  • Facilitate the resolution of yield issues by collaborating with process development engineers.
  • Use AI to streamline research processes, assist with experiment setup, and generate measurement reports.

What we're looking for

  • Bachelor's Degree in Electrical Engineering, Materials Science, Physics or related field with 8+ years experience.
  • Deep expertise in superconducting and semiconductor physics, device fabrication, and solid state chemistry.
  • Experience using AI to streamline research and manufacturing processes.
  • Proficiency in statistical Process Control (SPC) and Design of Experiments (DOE).
  • Familiarity with Electronic Design Automation (EDA) tools such as Cadence Virtuoso or Synopsys.
  • Ability to develop code in high-level languages like Python or Matlab in a version-controlled environment.

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