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Quantum Computing Research Scientist

NexusLabs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join NexusLabs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms that will redefine computational boundaries. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges—from drug discovery to climate modeling.

Our Austin-based innovation hub offers state-of-the-art labs, unparalleled resources, and a culture that rewards bold thinking. We provide comprehensive benefits including equity, flexible work arrangements, and dedicated research funding. If you're ready to shape the future of computation, apply today and become part of the quantum revolution.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead research in quantum error correction and fault-tolerant computing systems
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Secure and manage research grants from government and private sector partners
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
  • Proven expertise in quantum algorithm design and quantum circuit optimization
  • Publication record in Nature/Science or equivalent tier journals
  • Experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, probability, and computational complexity
  • Demonstrated ability to secure research funding or lead large-scale projects

Required Skills

Quantum Computing Algorithm Design Qiskit Q# Machine Learning Computational Physics Research Methodology

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