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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthroughs that will redefine computational paradigms. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum algorithms that solve previously unsolvable problems. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where innovation thrives. This is your opportunity to shape the future of human knowledge.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning
  • Lead experimental validation of quantum systems using superconducting qubits and photonic processors
  • Collaborate with cross-functional teams to integrate quantum solutions into enterprise platforms
  • Publish groundbreaking research in top-tier journals and present at global conferences
  • Secure federal grants and industry partnerships for next-generation quantum projects
  • Mentor junior researchers in quantum information theory and experimental physics

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum hardware (IBM Q, Rigetti, or IonQ)
  • Expertise in quantum programming languages (Q#, Quil, or Cirq)
  • Proven track record of peer-reviewed publications in quantum computing
  • Strong background in quantum error correction and fault-tolerant architectures
  • Experience with high-performance computing environments and HPC frameworks
  • Exceptional problem-solving skills and ability to communicate complex concepts

Required Skills

Quantum Computing Q# Cirq Quil Superconducting Qubits Photonic Processors Quantum Error Correction Fault-Tolerant Architectures Machine Learning Cryptography High-Performance Computing

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