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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Research Scientist to develop next-generation quantum algorithms and architectures that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges in cryptography, materials science, and artificial intelligence.

Why Nexus Labs? Our Austin R&D hub features state-of-the-art cryogenic quantum processors and offers unparalleled resources for groundbreaking research. We provide competitive equity packages, flexible remote work options, and dedicated innovation time for personal projects that could shape our future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems
  • Develop error mitigation strategies for current-generation quantum processors
  • Lead cross-functional teams in prototyping quantum-classical hybrid systems
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with government agencies on quantum security standards
  • Advise product teams on commercializing quantum solutions
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Publication record in Nature/Science or equivalent journals
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Demonstrated expertise in quantum error correction techniques
  • Strong background in linear algebra and complex analysis
  • Experience with high-performance computing environments
  • Passion for ethical AI and quantum governance frameworks

Required Skills

Quantum Computing Algorithm Design Error Correction Qiskit Cryptography Machine Learning High-Performance Computing Theoretical Physics

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