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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next era of computing. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and systems that will redefine 2026's digital landscape. Our state-of-the-art facility in San Francisco offers unparalleled resources for world-changing research, with competitive compensation and a culture of relentless innovation. Be part of the team that's turning quantum theory into tangible solutions for global challenges.

Responsibilities

  • Design and implement novel quantum algorithms for cryptography, optimization, and machine learning applications
  • Lead experimental quantum computing projects using superconducting qubit and photonic systems
  • Collaborate with cross-functional teams to integrate quantum solutions into enterprise frameworks
  • Publish groundbreaking research in peer-reviewed journals and industry conferences
  • Mentor junior researchers and drive quantum education initiatives
  • Secure and manage research partnerships with leading academic institutions

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years of industry experience
  • Expertise in quantum circuit design, error correction, and algorithm development
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#) and high-performance computing
  • Proven track record of publishing in quantum computing or related fields
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with cryogenic systems and quantum hardware integration preferred
  • Exceptional problem-solving skills and ability to work in high-pressure research environments

Required Skills

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

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