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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms and solve complex computational challenges that will redefine industries. Our state-of-the-art facility in San Francisco fosters collaboration between quantum physicists, software engineers, and domain experts to create scalable quantum solutions.

As part of our elite R&D team, you'll work on cutting-edge quantum hardware optimization, error correction protocols, and hybrid quantum-classical systems. We offer competitive compensation, unlimited PTO, comprehensive benefits, and a collaborative environment where your ideas can shape the future of computation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction techniques to enhance quantum system stability
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Lead research on hybrid quantum-classical computing frameworks
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and contribute to quantum computing education initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in quantum error correction and fault-tolerant computing
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with cloud-based quantum computing platforms (IBM Quantum, AWS Braket)

Required Skills

Quantum Computing Qiskit Q# Error Correction Quantum Algorithms Fault-Tolerant Computing Linear Algebra Python Cloud Computing

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