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Quantum Computing Research Lead - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking a visionary Research Lead to spearhead breakthrough projects in quantum algorithms, error correction, and practical applications. This role offers unparalleled opportunities to shape the next decade of computational science while collaborating with Nobel laureates and industry pioneers. Our state-of-the-art facility in San Francisco provides an ecosystem where innovation meets impact.

Responsibilities

  • Lead quantum algorithm development for 2026-era applications in cryptography and AI optimization
  • Design and implement quantum error correction protocols for fault-tolerant systems
  • Collaborate with hardware teams to optimize qubit coherence times and gate fidelities
  • Publish high-impact research in Nature/Science journals and present at IEEE Quantum Week
  • Secure $5M+ in government grants and industry partnerships for quantum initiatives
  • Mentor a cross-functional team of quantum physicists and software engineers
  • Develop quantum computing frameworks compatible with 2026 technology standards

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
  • Proven track record of publishing quantum computing research in top-tier journals
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and cloud quantum platforms
  • Experience with quantum hardware from IBM, Google, or IonQ quantum processors
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Strong background in machine learning and high-performance computing
  • Ability to secure research funding through NSF and DoE programs

Required Skills

Quantum Computing Quantum Algorithms Error Correction Q# Qiskit Cirq Machine Learning Fault-Tolerant Systems Research Funding Scientific Publishing

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