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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs 2026 at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and hardware architectures. This role offers unparalleled opportunities to shape the next generation of computational power while collaborating with Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley facility. What you'll achieve: Design scalable quantum systems, publish cutting-edge research, and translate theoretical breakthroughs into practical applications that will transform industries from healthcare to finance.

Responsibilities

  • Lead quantum algorithm development for optimization and simulation challenges
  • Design novel quantum error correction protocols for fault-tolerant computing
  • Collaborate with hardware teams on qubit architecture and control systems
  • Publish peer-reviewed research in top-tier journals/conferences
  • Develop quantum machine learning frameworks for 2026-era applications
  • Mentor junior researchers and drive cross-functional innovation
  • Secure $5M+ in quantum computing research grants

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault tolerance
  • Publication record in Nature/Science or equivalent quantum computing journals
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Strong background in machine learning and high-performance computing
  • US citizenship or permanent residency required for clearance

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Q# Qiskit Cirq Machine Learning High-Performance Computing Quantum Hardware

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