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Quantum Computing Research Scientist

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

Job Description

Join Nexus 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 next-gen algorithms and hardware architectures that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay Area skyline.

As part of our elite Future Systems Division, you'll contribute to breakthroughs in quantum error correction, topological qubits, and quantum machine learning. We offer unparalleled resources, competitive equity packages, and the opportunity to shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-corrected quantum architectures targeting fault-tolerant systems
  • Lead experimental validation of quantum protocols in cryogenic environments
  • Collaborate with hardware teams to co-design quantum-classical hybrid systems
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure $1M+ in research funding through NSF and DARPA proposals
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Computing, Physics, or related field with 3+ years industry experience
  • Expertise in quantum circuit design and fault-tolerant architectures
  • Published research in Nature/Science or equivalent tier journals
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Demonstrated success in securing government research grants
  • Strong background in condensed matter physics or quantum information theory
  • Experience leading cross-functional R&D teams of 5+ members

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Fault-Tolerant Systems Qiskit Cirq Q# Quantum Machine Learning Superconducting Qubits Topological Quantum Computing Research Grant Writing

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