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Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop groundbreaking algorithms, optimize qubit stability, and solve complex computational challenges that will redefine industries. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley facility. This role offers unparalleled opportunities to shape the next generation of computational technology while contributing to humanity's most ambitious scientific milestones.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead research initiatives to improve qubit coherence times and error correction protocols
  • Collaborate with hardware engineers to prototype and test quantum processors at cryogenic temperatures
  • Publish peer-reviewed research and present findings at top-tier conferences
  • Develop scalable quantum software frameworks for commercial deployment
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent research experience)
  • Proven expertise in quantum algorithm development and quantum circuit optimization
  • Strong background in quantum error correction and fault-tolerant architectures
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
  • Publication record in top-tier quantum computing or physics journals
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Experience with high-performance computing environments and parallel processing

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Cryogenics Error Correction Machine Learning Cryptography

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