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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and systems that will redefine computational boundaries. You'll collaborate with Nobel Prize-winning physicists and industry disruptors in our state-of-the-art facility overlooking the Bay. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science while enjoying comprehensive benefits including equity, wellness programs, and continuous learning stipends.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-corrected quantum systems with fault-tolerant architectures
  • Lead cross-functional teams in translating theoretical models into scalable quantum hardware
  • Publish high-impact research in peer-reviewed journals and industry whitepapers
  • Collaborate with government agencies on quantum-resistant security protocols
  • Mentor junior researchers and drive quantum literacy initiatives
  • Secure federal grants and private funding for quantum innovation projects

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and frameworks
  • Proven track record of publishing in Nature/Science journals or equivalent
  • Deep understanding of quantum error correction and topological computing
  • Strong background in machine learning and classical-quantum hybrid systems
  • Experience with quantum hardware platforms (IBM Q, Rigetti, D-Wave)
  • Demonstrated ability to secure research funding (>$2M in grants preferred)

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Machine Learning Cryptography Quantum Error Correction Topological Computing Python C++ Research Methodology

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