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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 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 scalable quantum algorithms and hybrid-classical systems that will redefine computational boundaries. Collaborate with world-class physicists and engineers in our state-of-the-art Austin facility to solve previously impossible problems in cryptography, materials science, and artificial intelligence. This role offers unparalleled opportunities to shape the next generation of computational paradigms while working with cutting-edge hardware from industry partners like IBM and Rigetti.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error mitigation techniques for near-term quantum processors
  • Create hybrid quantum-classical machine learning frameworks
  • Lead cross-functional teams in prototyping quantum applications
  • Publish research in top-tier journals and present at international conferences
  • Secure patents for breakthrough quantum methodologies
  • Mentor junior researchers and interns in quantum physics principles

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra and complex analysis
  • Publication record in quantum computing or condensed matter physics
  • Experience with NISQ-era hardware constraints and error correction
  • Excellent problem-solving skills for abstract computational challenges
  • Ability to communicate complex quantum concepts to diverse stakeholders

Required Skills

Quantum Computing Algorithm Development Qiskit Cirq Machine Learning Cryptography Error Correction Research Methodology

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