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Quantum Computing Research Scientist

NexusLabs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join NexusLabs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and architectures that will redefine computational possibilities. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your work will directly impact global industries from healthcare to cryptography.

As part of our elite Future Systems Division, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges. This role offers competitive equity, flexible work arrangements, and dedicated R&D budget for cutting-edge experiments.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experimental validation of quantum computing architectures using 50+ qubit systems
  • Develop error correction protocols for fault-tolerant quantum computation
  • Collaborate with hardware teams to co-design quantum-classical hybrid systems
  • Publish breakthrough research in top-tier journals and conferences
  • Secure $2M+ in annual research grants and partnerships
  • Mentor junior researchers in quantum information science

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
  • Published research in quantum algorithms or quantum error correction
  • Expertise in linear algebra and quantum information theory
  • Proficiency with high-performance computing environments
  • Strong background in machine learning and statistical modeling
  • Track record of securing research funding or industry partnerships

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction High-Performance Computing Machine Learning Research Funding Scientific Publishing

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