Calibration & AI-Ops Scientist
Quick Summary
About Anyon Systems Anyon Systems is a Canadian quantum computing company based in Montréal, QC, focused on building next-generation quantum processors and full-stack quantum computing systems.
About Anyon Systems
Anyon Systems is a Canadian quantum computing company based in Montréal, QC, focused on building next-generation quantum processors and full-stack quantum computing systems.
We operate at the frontier of physics and engineering, where hardware, software, cryogenics, control systems, and advanced computing infrastructure converge to enable real-world quantum applications.
As we continue to expand our quantum computing capabilities, we are growing our engineering team to support the design and deployment of highly integrated quantum computing platforms.
Role Overview
We are seeking a Calibration & AI-Ops Scientist to develop automated calibration, monitoring, and optimization solutions for superconducting quantum computing platforms.
The successful candidate will help improve system performance through the application of data science, automation, and machine learning techniques.
Key Responsibilities
Automation & Calibration
- Develop automated calibration workflows.
- Monitor system performance and operational drift.
- Improve reliability and recovery processes.
Data Science & AI
- Analyze large experimental and operational datasets.
- Develop machine learning models to optimize performance.
- Generate insights to support engineering teams.
Cross-Functional Support
- Collaborate with hardware, software, and operations teams.
- Support deployment of automated operational tools.
Qualifications
- Master's or PhD in Physics, Data Science, Computer Science, Applied Mathematics, or related field.
- Experience with Python, data analytics, and automation.
- Machine learning experience is strongly preferred.
Key Competencies
- Data Science
- Machine Learning
- Automation
- Analytical Thinking
- Innovation
- Collaboration
Location & Eligibility
Listing Details
- Posted
- July 17, 2026
- First seen
- July 23, 2026
- Last seen
- July 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 27%
- Scored at
- July 23, 2026
Signal breakdown
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