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Quantum Computing Research Lead 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect next-generation solutions that will redefine industries. This role offers unparalleled opportunities to shape the future of computational science while collaborating with world-class innovators in our state-of-the-art San Francisco facility.

As a cornerstone of our R&D division, you'll drive projects that push the boundaries of quantum supremacy, develop novel algorithms for quantum machine learning, and translate theoretical advances into practical applications. Our team operates with startup agility combined with enterprise resources, ensuring your research makes real-world impact.

Responsibilities

  • Lead multi-disciplinary teams in designing and implementing quantum computing architectures for 2026 use cases
  • Develop novel quantum algorithms targeting optimization and simulation challenges in finance, logistics, and materials science
  • Establish strategic research partnerships with academic institutions and quantum hardware pioneers
  • Translate theoretical quantum computing concepts into scalable, production-ready solutions
  • Secure and manage research grants totaling $5M+ annually from government and private sources
  • Mentor PhD-level researchers and publish breakthrough findings in top-tier journals
  • Define roadmap for quantum cloud services integration with classical computing infrastructure

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computer Science with 8+ years of industry experience
  • Proven track record of publishing in Nature/Science journals or equivalent quantum computing breakthroughs
  • Expertise in quantum error correction, fault-tolerant systems, and quantum circuit optimization
  • Deep understanding of quantum hardware platforms (superconducting, ion traps, photonic)
  • Experience leading $10M+ R&D projects with measurable commercial impact
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and HPC environments
  • Strong background in machine learning and classical-quantum hybrid systems
  • Ability to articulate complex quantum concepts to technical and non-technical stakeholders

Required Skills

Quantum Computing Quantum Algorithms Fault-Tolerant Quantum Systems Q# Qiskit Machine Learning HPC Research Leadership Quantum Hardware

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