Quantum Decoder Scientist: QEC & ML, Equity-Eligible

QuEra Computing Inc.; Boston (MA); On-site; USD 130,000 - 212,000; Full time

Benefits offered by this job

Equity grants

Job summary

QuEra Computing is seeking a Quantum Scientist to develop decoder algorithms and advance quantum error correction for neutral atom quantum computers. You will design and analyze decoding methods for quantum memories and fault-tolerant logical circuits, studying how code structure and realistic noise affect performance, complexity, and scalability.

Research will span algorithmic, machine learning, and hybrid approaches.

Qualifications

• Advanced degree in Physics, Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent experience
• Strong background in quantum error correction, quantum codes, and fault tolerance
• Research experience in decoder design and analysis of algorithmic complexity
• Experience evaluating decoders using analytical methods, numerical simulation, or both
• Strong scientific programming skills for decoder research and clear communication

Responsibilities

• Develop decoder algorithms and advance the theory of quantum error correction for neutral atom quantum computers
• Design and analyze decoding methods for quantum memories and fault-tolerant logical circuits
• Study how code structure and realistic noise affect logical performance, computational complexity, and scalability
• Explore algorithmic, machine learning, and hybrid approaches across theory, software, and experiments
• Build reference implementations, perform numerical studies, and identify decoding strategies that improve fault-tolerant quantum computation

Skills

Quantum error correction

Fault tolerance

Decoder research

Scientific programming

Communication

Education

Advanced degree in Physics, CS, EE, Math or related field

Job description

QuEra Computing is seeking a Quantum Scientist to develop decoder algorithms and advance quantum error correction for neutral atom quantum computers. You will design and analyze decoding methods for quantum memories and fault-tolerant logical circuits, studying how code structure and realistic noise affect performance, complexity, and scalability.

Research will span algorithmic, machine learning, and hybrid approaches.