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Quantum Computing Research Scientist

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

Job Description

Shape the future of technology by pioneering breakthroughs in quantum computing at Nexus Labs. Join our elite team of visionaries developing next-generation solutions for 2026 and beyond. We're revolutionizing industries from pharmaceuticals to cryptography with our cutting-edge quantum algorithms. At Nexus, you'll collaborate with Nobel laureates and industry disruptors in a state-of-the-art facility overlooking the Bay. Our commitment to ethical innovation ensures your work will impact billions while advancing scientific boundaries. We offer unparalleled resources, flexible work arrangements, and a culture that celebrates intellectual curiosity. If you're ready to solve humanity's greatest challenges using quantum mechanics, this is your moment.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to develop hybrid quantum-classical workflows
  • Publish breakthrough findings in top-tier journals and conferences
  • Secure external funding through NSF and DARPA grants
  • Mentor junior researchers and foster cross-departmental innovation
  • Drive quantum computing applications in drug discovery and materials science

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of experience with quantum programming frameworks (Qiskit, Cirq)
  • Expertise in quantum information theory and many-body physics
  • Strong publication record in quantum computing research
  • Proficiency in Python, C++, and high-performance computing
  • Demonstrated ability to secure government research grants
  • Experience with superconducting or photonic quantum systems

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Python High-Performance Computing Quantum Error Correction Machine Learning Superconducting Systems

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