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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational boundaries. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley facility, where your work directly impacts global advancements in cryptography, materials science, and AI optimization. We offer competitive equity packages, unlimited R&D budgets, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead experimental validation of quantum hardware prototypes at cryogenic temperatures
  • Develop error correction protocols for fault-tolerant quantum systems
  • Publish breakthrough research in peer-reviewed journals and industry conferences
  • Collaborate with hardware engineers to optimize quantum circuit architectures
  • Secure federal and private research grants for quantum computing initiatives
  • Mentor junior researchers in quantum information theory

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (required)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum error correction or topological quantum computing
  • Deep understanding of quantum decoherence mitigation techniques
  • Experience with superconducting or trapped-ion quantum platforms
  • Strong track record of securing research funding
  • US citizenship or permanent residency (for government contract compliance)

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Qiskit Cirq Q# Quantum Error Correction Superconducting Qubits Topological Quantum Computing Machine Learning

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