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Quantum Computing Research Scientist 2026

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We seek a visionary Quantum Computing Research Scientist to pioneer breakthroughs in quantum algorithms and cryptography. Our interdisciplinary team operates at the intersection of physics, computer science, and AI to solve previously unsolvable challenges. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay, with resources including 512-qubit processors and dedicated simulation clusters. This role offers unparalleled opportunities to shape quantum's commercialization trajectory while contributing to humanity's most ambitious scientific endeavors.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Lead cross-functional research teams in quantum cryptography and secure communication
  • Publish findings in top-tier journals (Nature, Science, Quantum) and present at global symposia
  • Partner with hardware teams to translate theoretical models into practical quantum processors
  • Secure and manage multi-million dollar research grants from NSF and DARPA
  • Mentor PhD candidates and postdoctoral researchers in quantum information science

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Quipper) and simulation frameworks
  • Proven track record of peer-reviewed publications in quantum algorithms or error correction
  • Deep understanding of quantum mechanics principles and tensor network methodologies
  • Proficiency in high-performance computing environments (HPC, GPU acceleration)
  • Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
  • Strong background in machine learning frameworks (PyTorch, TensorFlow) for quantum-classical hybrid systems

Required Skills

Quantum Computing Qiskit Quantum Algorithms Error Correction Machine Learning Cryptography HPC Python TensorFlow Cirq Quantum Hardware

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