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Quantum Computing Research Scientist (2026)

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum computing breakthroughs. As a Quantum Computing Research Scientist (2026), you'll design and implement revolutionary quantum algorithms to solve previously unsolvable problems in cryptography, material science, and AI. Collaborate with world-class physicists and engineers in our state-of-the-art San Francisco facility, where your work will directly shape the future of computational power. We offer competitive equity packages, flexible hybrid work arrangements, and unparalleled resources to accelerate your research.

Responsibilities

  • Develop novel quantum algorithms for error correction and optimization
  • Lead experimental validation of quantum systems using superconducting qubits
  • Publish groundbreaking research in peer-reviewed journals and industry conferences
  • Collaborate with hardware teams to bridge theoretical models with physical implementations
  • Mentor junior researchers and cross-functional teams on quantum principles
  • Secure external funding through NSF and DARPA proposals
  • Drive ethical frameworks for quantum technology deployment

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum information theory or topological computing
  • Expertise in quantum error correction codes and fault-tolerant architectures
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated success in securing competitive research grants
  • Strong background in linear algebra and complex analysis

Required Skills

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

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