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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the future of technology as a Quantum Computing Research Scientist at Nexus Quantum Labs. We're pioneering breakthroughs in quantum algorithms and error correction that will define the next decade of computational science. Join our interdisciplinary team of Nobel laureates and industry pioneers in a mission to solve humanity's most complex challenges.

Why Nexus Quantum Labs? We offer unparalleled resources, including access to 128-qubit quantum processors and collaboration with MIT's Quantum Engineering Center. Our culture values intellectual curiosity and disruptive thinking, with flexible work arrangements and a $20,000 annual innovation stipend.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for fault-tolerant quantum systems
  • Lead cross-functional research projects with hardware and software teams
  • Publish findings in top-tier journals and present at international conferences
  • Secure federal and private research funding through grant proposals
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit)
  • Published research in quantum information theory or quantum algorithms
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra and quantum mechanics fundamentals
  • Experience with high-performance computing and parallel programming
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Q# Linear Algebra Fault-Tolerant Systems High-Performance Computing Machine Learning

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