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Director Quantum Computing Jobs in Massachusetts

QUANTUM COMPUTING, INC.

EHS Engineer

Bedford, MA · On-site

$94K - $123K/yr

EHS Director About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi ...

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Director Quantum Computing information

What does a director of quantum computing do?

A Director of Quantum Computing leads the strategic planning and implementation of quantum computing initiatives within an organization. They oversee research and development, manage teams working on quantum algorithms and hardware, and collaborate with external partners and stakeholders. Their responsibilities include setting the vision for quantum technology adoption, ensuring projects align with business goals, and keeping abreast of advancements in the rapidly evolving field. They also help identify opportunities where quantum computing can provide a competitive advantage.

How does a director of quantum computing typically collaborate with cross-functional teams to drive quantum initiatives within an organization?

A Director of Quantum Computing works closely with cross-functional teams, including research scientists, software engineers, IT specialists, and executive leadership, to shape and implement quantum strategies. They often facilitate communication between technical experts and non-technical stakeholders to align quantum projects with broader business goals. Regular collaboration involves leading project reviews, supporting team development, and ensuring that research milestones and technology integration efforts move forward smoothly. This role is pivotal in translating quantum advancements into practical solutions that benefit the organization.

What are the key skills and qualifications needed to thrive as a director of quantum computing, and why are they important?

To thrive as a Director of Quantum Computing, you need deep expertise in quantum algorithms, quantum physics, and advanced computer science, typically backed by a Ph.D. or equivalent experience. Familiarity with quantum programming languages (like Qiskit or Cirq), quantum hardware platforms, and relevant industry certifications is highly valuable. Strong leadership, strategic vision, and the ability to communicate complex ideas to diverse stakeholders are standout soft skills. These competencies ensure effective management of quantum projects, drive innovation, and bridge the gap between technical teams and business goals.

What are the most commonly searched types of Quantum Computing jobs in Massachusetts?

The most popular types of Quantum Computing jobs in Massachusetts are:

What are popular job titles related to Director Quantum Computing jobs in Massachusetts?

For Director Quantum Computing jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Director Quantum Computing jobs in Massachusetts look for?

The top searched job categories for Director Quantum Computing jobs in Massachusetts are:

What cities in Massachusetts are hiring for Director Quantum Computing jobs?

Cities in Massachusetts with the most Director Quantum Computing job openings:

Director Quantum Computing jobs near you

AI for Quantum Operations Lead

QuEra Computing, Inc.

Boston, MA • On-site

Full-time

Re-posted 13 days ago

Job description

Role Summary

The AI for Quantum Operations Lead owns the roadmap and execution strategy for AI-assisted calibration, diagnostics, prediction, and recovery across quantum systems, ensuring that AI improves machine uptime, calibration speed, and operator decision-making while deterministic control and safety software remain authoritative.

Key Responsibilities

  • Define and drive the AI operations roadmap across calibration optimization, atom image/readout analysis, drift prediction, root-cause diagnosis, and recovery recommendation.
  • Partner with quantum systems, controls, software, hardware, and ML teams to identify high-value workflows where AI can safely propose, rank, predict, or optimize.
  • Establish the bounded-AI operating model: AI provides recommendations or constrained optimizations, while deterministic control software enforces timing, hardware limits, validation, rollback, and safety logic.
  • Prioritize AI pilots for Quokka, Calibration Manager, telemetry systems, readout pipelines, and QPU operations workflows.
  • Own requirements for dataset traceability, model validation, observability, offline replay, deployment gates, and operator-facing explainability.
  • Translate machine-performance pain points into measurable AI/ML objectives such as reduced calibration time, fewer failed jobs, faster recovery, improved readout quality, and better drift detection.
  • Coordinate cross-functional execution, staffing needs, milestones, risk reviews, and stakeholder communication.

Required Background

  • Strong technical leadership experience in AI/ML, controls, robotics, scientific instrumentation, or complex hardware operations.
  • Experience bringing ML models into production environments where reliability, safety, traceability, and human/operator trust matter.
  • Ability to work across software, hardware, physics, and operations teams.
  • Strong systems thinking; understands where AI should help, where deterministic software must remain in charge, and how to design the boundary between them.

Preferred Background

  • Experience with Bayesian optimization, active learning, time-series forecasting, computer vision, anomaly detection, or root-cause analysis.
  • Familiarity with calibration workflows, lab automation, telemetry systems, or hardware-in-the-loop validation.
  • Exposure to quantum computing, neutral atoms, optical systems, embedded control, or real-time systems.

Success Measures

  • Clear AI operations roadmap with owners, milestones, and safety gates.
  • First bounded AI pilots deployed into calibration or readout workflows.
  • Measurable reduction in calibration effort, diagnosis time, drift-related failures, or recovery time.
  • Strong governance around model validation, data provenance, deployment approval, and operator trust.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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