Quantum Calibration & Benchmarking Engineer (Quantum Processor)
Posted 19 days ago · 43 applicants
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The role in plain words
This role focuses on measuring, diagnosing, and improving the performance of superconducting quantum processors. You will implement and analyze benchmarking techniques to characterize noise, drift, and errors, while supporting AI-driven calibration and monitoring systems. Additionally, you will build visualization and reporting tools to track system health.
- Background in experimental physics or quantum characterization
- Strong data analysis skills in Python (NumPy, SciPy, pandas)
- Familiarity with quantum noise and error sources
- Implement and analyze benchmarking techniques (RB, IRB, XEB, cycle benchmarking)
- Experience with multi-qubit systems
Extracted from the job description · kept up to date automatically
Who this suits
This role suits candidates with a background in experimental physics or quantum characterization who possess strong Python data analysis skills and familiarity with quantum noise. It is less ideal for those without experimental intuition or comfort working with complex datasets.
Full job description
Original listing · kept for referenceAbout Us
Anyon Systems is building the next generation of superconducting quantum computers. We design and operate full-stack quantum systems, from fabrication and cryogenics to control electronics, calibration, and software. What differentiates Anyon is execution speed, technical depth, and a relentless focus on making quantum hardware work in practice, not just on paper. Our Tel Aviv R&D center is a critical powerhouse driving Anyon Systems’ global quantum roadmap. Far from a traditional satellite office, this strategic hub owns the core pillars of our technology: quantum control, calibration, benchmarking, and AI-first automation. We deliberately anchored this team in Israel to leverage the ecosystem’s unmatched pedigree in deep-tech execution, defense-grade engineering, and rigorous applied research. As a member of this team, you will operate with complete autonomy and high agency, directly shaping the flagship products deployed to our customers worldwide.
Role Overview
This role focuses on measuring, diagnosing, and improving quantum processor performance. It is well-suited for candidates with strong experimental intuition and comfort working with complex datasets.
Key Responsibilities
• Implement and analyze benchmarking techniques (RB, IRB, XEB, cycle benchmarking) - Characterize noise, drift, crosstalk, and readout errors
• Define calibration quality metrics tied to fidelity and stability
• Support AI-driven calibration and monitoring systems
• Build visualization and reporting tools for system health
Qualifications
• Background in experimental physics or quantum characterization
• Strong data analysis skills in Python (NumPy, SciPy, pandas)
• Familiarity with quantum noise and error sources
• Experience with multi-qubit systems is an advantage
What We Offer
• A core technical role in a fast-growing quantum hardware company
• Direct access to real, state-of-the-art quantum processors
• High level of autonomy and technical ownership
• Collaboration with world-class experimental, theoretical, and AI teams across North America and Israel
• Competitive compensation aligned with senior deep-tech roles in Israel - Long-term equity participation
• Flexible work culture with strong emphasis on results, not bureaucracy - Opportunity to influence the technical direction of the company.
Security / Defense Backgrounds: Candidates with backgrounds in defense, aerospace, intelligence, secure systems, RF, real-time systems, or classified R&D environments are strongly encouraged to apply. Experience operating complex systems under strict performance, reliability, and security constraints is highly valued.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Background in experimental physics or quantum characterization, Strong data analysis skills in Python (NumPy, SciPy, pandas), Familiarity with quantum noise and error sources, Implement and analyze benchmarking techniques (RB, IRB, XEB, cycle benchmarking)