Queracomputinginc

Postdoctoral Fellow - Applied Machine Learning in Quantum Systems

Boston, MA USA

Sponsorship not specified$110k-$120kDetected 23 days ago

PythonC++GitMachine LearningElectrical EngineeringControlsCommunicationProblem Solving

About the role

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.
include advancing capabilities such as measurement-informed feedback control and machine learning-driven inference.
The approximate base salary range for this position is $110,000-$120,000.

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
Effective communication skills and the ability to collaborate across physics, engineering, and software teams.

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).
Strong analytical and problem-solving skills, with the ability to take technical ownership.
Proficiency with Git and modern collaborative development workflows.
Track record of publications or significant technical contributions in relevant areas.

Experience with quantum control stacks or real-time control systems.
Familiarity with fault-tolerant protocols, logical qubit architectures, or quantum error correction frameworks.
Experience with performance-sensitive, low-latency, or distributed systems.
Aware of advances in fault-tolerant quantum computing, in-the-loop control, and ML-driven control strategies.
We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer.

Develop and deploy machine learning models for high-fidelity quantum operation inference and control prediction.
Demonstrated experience working with Machine Learning for inference and hardware in loop.

This listing is sourced directly from Queracomputinginc's careers page and normalized into a canonical job model.