Postdoctoral Fellow - Applied Machine Learning in Quantum Systems

Postdoctoral Fellow - Applied Machine Learning in Quantum Systems at QuEra Computing, Boston, MA, USA. A executive-level full time position in the Quantum Systems team, listed under software engineering.

Summary This role focuses on developing computational methods for in-the-loop stabilization of neutral atom Logical Quantum Processing Units (LQPUs). The position sits at the interface of quantum hardware and control systems, supporting both near-term experimental performance and the long-term development of control architectures for stable, fault-tolerant computing. The successful candidate will design and prototype state-of-the‑art methods to enable reliable quantum operations and translate device measurements into actionable control feedback. Responsibilities include advancing capabilities such as measurement-informed feedback control and machine learning–driven inference.

Key Responsibilities

• Develop and deploy machine learning models for high‑fidelity quantum operation inference and control prediction.
• Design and prototype in‑the‑loop control mechanisms that adapt sequences based on measurement outcomes and system state.
• Collaborate with physics, quantum error‑correction, hardware, and control teams to validate new stack components using experimental data and system‑level performance.

Required Qualifications

• Ph.D. or equivalent experience in Physics, Computer Science, Electrical Engineering, or a related field, with a strong background in quantum computing or quantum physics.
• Experience working with quantum computing platforms (neutral atoms, trapped ions, superconducting qubits, or similar).
• Demonstrated experience working with Machine Learning for inference and hardware in loop.
• Strong programming skills in Python, C++, or similar languages.
• Strong analytical and problem‑solving skills, with the ability to take technical ownership.
• Effective communication skills and the ability to collaborate across physics, engineering, and software teams.
• Proficiency with Git and modern collaborative development workflows.
• Track record of publications or significant technical contributions in relevant areas.

Preferred Qualifications

• Experience with quantum control stacks or