Job SummaryRole: Technical Consultant
Duration: FLC
Mode: Remote
Location; USA
We are seeking a Lead Subject Matter Expert (SME) in Quantum Computing to anchor the design, development, and delivery of enterprise training programs for technology, R&D, and innovation audiences. The role blends deep technical credibility with hands-on instructional capability - turning a fast-evolving field into structured, business-relevant learning that scales across our client base.
The Lead SME will partner with instructional designers, learning architects, and delivery managers to build flagship quantum learning paths spanning awareness-level executive briefings through advanced practitioner tracks (quantum algorithms, QML, post-quantum cryptography, hybrid quantum-classical workflows). The role is both author and instructor - owning content quality and personally facilitating senior-audience and train-the-trainer sessions.
Learning Design & Architecture- Design end-to-end quantum learning paths across awareness, foundation, intermediate, and advanced tiers, mapped to defined personas (developers, architects, data scientists, security, leadership).
- Define learning outcomes, competency models, and assessment rubrics for each module; align with enterprise capability frameworks and certification pathways.
- Curate the technology stack for hands-on labs and recommend simulator vs. real-hardware progression.
Content Development- Author technically rigorous courseware - slides, instructor guides, lab exercises, datasets, code notebooks, knowledge checks, and capstone projects.
- Translate research-grade material into corporate-ready learning with appropriate abstraction, business framing, and use-case anchoring (finance, pharma, logistics, cybersecurity).
- Maintain a content refresh cadence to keep pace with hardware progress, SDK updates, and emerging standards.
ExperienceRequired Qualifications- Education: Master's or Ph.D. in Physics, Computer Science, Mathematics, Electrical Engineering, or related quantitative discipline. Specialization in quantum information science strongly preferred.
- Experience: Minimum 5+ years in a corporate environment in roles such as quantum researcher, applied scientist, R&D engineer, technical trainer, or quantum solutions architect. Pure-academic profiles without industry exposure will not be considered.
- Technical depth: Working command of quantum mechanics fundamentals, quantum circuit model, gate-based and (preferably) annealing paradigms, key algorithms, error correction basics, and quantum machine learning.
- Tooling: Hands-on with at least two of Qiskit, Cirq, PennyLane, Amazon Braket, Q#/Azure Quantum; comfortable in Python and Jupyter.
- Adjacent fluency: Familiarity with post-quantum cryptography landscape (NIST PQC standards), hybrid HPC-quantum workflows, and the major hardware modalities (superconducting, trapped-ion, photonic, neutral atom).
- Delivery experience: Demonstrable track record of designing AND delivering technical training to professional audiences - not just lecturing in academic settings. Should be able to share sample courseware, recordings, or learner outcomes.
- Communication: Able to pitch the same concept three ways - to a board, to an architect, to a developer - without losing rigor.
