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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and solve previously unsolvable computational challenges. This role offers unparalleled opportunities to shape the future of artificial intelligence, cryptography, and materials science in our state-of-the-art research facility.

Why Nexus Labs? Our cross-disciplinary teams work in an environment that fosters radical innovation, with access to quantum annealers, superconducting qubit processors, and $50M in annual R&D funding. We offer competitive equity packages, flexible remote work options, and dedicated innovation time for personal projects.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum supremacy protocols using 50+ qubit systems
  • Collaborate with AI teams to develop hybrid quantum-classical neural networks
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure federal and private grants for quantum computing initiatives
  • Mentor junior researchers and drive open-source quantum software development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent research experience)
  • 3+ years hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum error correction or fault-tolerant computing
  • Deep understanding of quantum mechanics principles and tensor networks
  • Proven track record of translating theoretical concepts into practical implementations
  • Experience with high-performance computing architectures and parallelization

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Machine Learning Tensor Networks Fault-Tolerant Computing High-Performance Computing

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