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Quantum Computing Research Scientist

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

Job Description

Step into the future with Nexus Future Labs, where quantum innovation meets practical application. We're pioneering the next frontier of computational science, and we need visionary minds to help us unlock the full potential of quantum systems by 2026. As a Quantum Computing Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms that will redefine industries—from cryptography to drug discovery. Our state-of-the-art lab in San Francisco offers unparalleled resources, including access to the world's most advanced quantum processors. If you're driven to solve humanity's most complex problems and shape the technological landscape of tomorrow, this is your calling.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
  • Lead experimental validation of quantum systems using superconducting and photonic platforms
  • Develop hybrid quantum-classical computing frameworks for real-world enterprise solutions
  • Collaborate with AI/ML teams to integrate quantum acceleration into neural networks
  • Author peer-reviewed publications and patents in quantum information science
  • Mentor junior researchers and drive cross-functional innovation sprints
  • Stay ahead of emerging quantum threats and develop post-quantum cryptography protocols

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of quantum research experience
  • Expertise in quantum circuit design, error correction, and variational algorithms
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and high-performance computing
  • Publication record in top-tier journals (Nature, Science, PRL) or major conferences
  • Strong background in machine learning frameworks (TensorFlow, PyTorch) and classical optimization
  • Experience with quantum hardware integration and experimental validation
  • Ability to translate theoretical concepts into scalable, production-ready solutions

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Error Correction Qiskit Cirq TensorFlow High-Performance Computing Cryptography

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