Senior Quantum Device Yield Engineer

Microsoft

Quick summary

Work type
On-site
Location
—
Salary
$119,800–$234,700 / yr
Posted
71 days ago

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Competitive pay

How this pay compares to similar roles

Similar $193k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 50% of similar roles. Most pay $170,000–$216,250 — the shaded band above. At the midpoint, this role pays about $177k versus about $193k for comparable roles.

Based on 240 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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Senior Quantum Device Yield Engineer

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Join Microsoft Quantum as a Senior Hardware Engineer focused on device yield, contributing to the advancement of our scalable quantum hardware systems. You will lead efforts in designing robust test structures and evaluating device performance across temperature regimes, applying statistical analysis to extract insights from electrical tests and yield data. Your role involves developing scripts for data transformation into strategic guidance, collaborating with design teams to establish benchmarks and improve manufacturability, and maintaining documentation for PDKs. Expertise in superconductor physics, semiconductor fabrication, and crystal chemistry is essential, along with experience using AI, EDA tools like Cadence Virtuoso, and MES platforms. This role demands a deep understanding of quantum computing’s implications across various industries, requiring advanced degrees or equivalent industry experience.

Skills

Python Matlab Git Cadence_Virtuoso Synopsys Mentor_Graphics Keysight_ADS Power_BI Tableau SPC DOE EDA superconducting_physics semiconductor_physics device_fabrication solid_state_chemistry data_analysis Pareto_analysis MES

What you'll do

  • Conduct in-depth analysis of device performance across temperature ranges 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 for manufacturability.
  • Facilitate failure analysis investigations for low-yield components and coordinate across teams.
  • Apply statistical process control principles to resolve yield issues in semiconductor fabrication.

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.
  • Strong data analysis skills, including constructing clear problem statements from data.
  • Experience developing code in high-level languages like Python or Matlab.

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