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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer breakthroughs that will define 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation quantum algorithms and architectures. Our interdisciplinary team collaborates with Fortune 500 partners to solve previously unsolvable problems in cryptography, materials science, and artificial intelligence. Enjoy competitive benefits, flexible work arrangements, and access to our state-of-the-art quantum research facilities in the heart of San Francisco's tech corridor.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Lead experimental validation of quantum systems on superconducting and photonic platforms
  • Collaborate with AI/ML teams to develop quantum-classical hybrid computing frameworks
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Secure research grants and partnerships with academic institutions and industry leaders
  • Mentor junior researchers and contribute to quantum computing curriculum development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum circuit design and simulation
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Strong background in quantum error correction and fault-tolerant architectures
  • Demonstrated track record of high-impact research publications
  • Experience securing government or industry research funding
  • Expertise in at least one classical high-performance computing paradigm

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Photonic Quantum Systems Cirq Qiskit Fault-Tolerant Computing Quantum Error Correction High-Performance Computing Machine Learning

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