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Quantum Computing Research Scientist

Nexus Labs
Austin
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 seek a visionary Research Scientist to develop next-generation quantum algorithms and protocols that will redefine computational capabilities. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to drug discovery. Our state-of-the-art Austin facility offers unparalleled resources including 128-qubit processors and cryogenic engineering labs. We provide comprehensive benefits including equity grants, sabbatical programs, and dedicated innovation time. Shape the future of computing with us.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead cross-functional R&D teams in prototyping quantum-resistant encryption systems
  • Develop error-correction methodologies to enhance qubit stability beyond 2026 industry standards
  • Collaborate with hardware engineers to integrate quantum processors with classical computing frameworks
  • Publish peer-reviewed research and present findings at international quantum computing conferences
  • Secure multi-million dollar research grants through compelling technical proposals
  • Mentor junior researchers in quantum information science principles

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
  • Published research in top-tier journals (Nature, Science, or IEEE) on quantum algorithms
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and high-performance computing
  • Expertise in quantum error correction and fault-tolerant architectures
  • Track record of securing government or corporate research grants
  • Strong background in linear algebra, probability theory, and complexity theory
  • Experience with quantum hardware integration (IBM Quantum, Rigetti, or IonQ systems)
  • Demonstrated ability to translate theoretical concepts into practical applications

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Machine Learning Cryptography Qiskit Q# High-Performance Computing Research Methodology

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