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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer quantum algorithms for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop breakthrough solutions in cryptography, optimization, and material science. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab, leveraging cutting-edge quantum processors to solve humanity's most complex challenges.

What you'll achieve:

• Design and implement novel quantum algorithms with real-world applications
• Publish groundbreaking research in top-tier journals and conferences
• Mentor the next generation of quantum engineers through our Quantum Academy program
• Shape industry standards through our partnership with the Quantum Computing Consortium

Responsibilities

  • Develop and optimize quantum algorithms for practical applications in logistics, drug discovery, and financial modeling
  • Lead experimental validation of quantum circuits on superconducting and photonic platforms
  • Collaborate with hardware teams to co-design quantum processors with error correction capabilities
  • Secure $5M+ in research grants through NSF and DARPA proposals
  • Present findings at international quantum computing symposia
  • Patent at least 3 novel quantum methodologies per year

Qualifications

  • PhD in Quantum Physics, Computer Science, or Electrical Engineering with 3+ years of quantum research
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and error mitigation techniques
  • Published research in Nature/Science or equivalent peer-reviewed journals
  • Proficiency in high-performance computing environments and GPU acceleration
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Demonstrated ability to translate theoretical concepts into experimental implementations
  • Strong background in linear algebra, probability theory, and computational complexity

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Superconducting Qubits Photonic Computing Error Correction High-Performance Computing Machine Learning Cryptography

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