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Quantum Computing Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of technological innovation as we pioneer the next frontier of computing. We're seeking a Quantum Computing Research Scientist to develop breakthrough algorithms and architectures that will define the 2026 technological landscape. Work alongside Nobel laureates and collaborate with industry leaders to solve humanity's most complex challenges.

Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation, including 128-qubit processors and cryogenic computing environments. This role provides the unique opportunity to shape the future of computational science while enjoying competitive compensation and comprehensive benefits.

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 quantum-classical hybrid computing frameworks
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation projects
  • Secure research funding through federal grants and industry partnerships

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in linear algebra, probability theory, and computational complexity
  • Proficiency in high-performance computing environments and parallel programming
  • Strong track record of translating theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Error Correction High-Performance Computing Linear Algebra Research Publication

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