Scientific Advisor – Quantum Benchmarking & Reproducibility

SoftQuantus; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote work

Startup environment

Collaborative research opportunities

Job summary

SoftQuantus is seeking a PhD-level Scientific Advisor to help shape the scientific foundation of QCOS, our Quantum Control Operating System focused on benchmarking, reproducibility, drift analysis, and hardware reliability. Responsibilities include designing validation protocols, developing reproducibility standards, and supporting publication-grade methodology and research output.

You will advise on hardware scaling and performance metrics, review benchmarking methods, and collaborate with

Qualifications

• PhD level candidate with strong publication record in quantum computing.
• Expertise in benchmarking methodologies for quantum experiments.
• Experience with noise modeling and error mitigation.
• Knowledge of experimental reproducibility frameworks.

Responsibilities

• Design validation protocols for QCOS.
• Develop reproducibility standards for quantum experiments.
• Support publication-grade methodology and research output.
• Advise on hardware scaling evaluation and performance metrics.
• Review and validate benchmarking methodologies.

Skills

Quantum benchmarking

Noise modeling

Reproducibility frameworks

Research publication track

Hardware performance metrics

Education

PhD in Quantum Computing/Physics/CS

Job description

Scientific Advisor – Quantum Benchmarking & Reproducibility

Remote • Europe Posted February 1, 2026

About this role

SoftQuantus is developing QCOS, a Quantum Control Operating System focused on benchmarking, reproducibility, drift analysis, and hardware reliability. We are seeking a PhD-level Scientific Advisor to help shape the scientific foundation of our platform.

Responsibilities

• Design validation protocols for QCOS
• Develop reproducibility standards for quantum experiments
• Support publication-grade methodology and research output
• Advise on hardware scaling evaluation and performance metrics
• Review and validate benchmarking methodologies

Requirements

• PhD in Quantum Computing, Physics, Computer Science, or related field
• Strong research track record with publications in quantum computing
• Expertise in quantum benchmarking methodologies
• Experience with noise modeling and error mitigation
• Knowledge of experimental reproducibility frameworks

Nice to Have

• Experience with quantum hardware (superconducting, trapped ions, neutral atoms)
• Prior advisory experience with deep-tech startups
• Connections to European quantum research institutions

Skills & Keywords

Compute and quantum hardware engineering