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Quantum Computing Research Scientist

Nexus Labs 2026
Austin
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs 2026 at the forefront of technological evolution as we pioneer quantum computing solutions for global industries. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge hardware and collaborate with Nobel laureates in our state-of-the-art Austin facility.

As part of our elite Future Technologies Division, you'll contribute to projects that solve previously unsolvable problems in cryptography, materials science, and AI optimization. We provide competitive equity packages, unlimited R&D budgets, and flexible hybrid work arrangements for top-tier talent shaping tomorrow's innovations today.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead research initiatives in quantum error correction and system optimization
  • Collaborate with hardware engineers to co-design quantum processors
  • Publish findings in leading scientific journals and industry white papers
  • Mentor junior researchers and drive cross-functional innovation projects
  • Develop patentable quantum solutions for Fortune 500 partners
  • Present breakthroughs at international quantum technology conferences

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in peer-reviewed quantum computing journals
  • Proficiency with quantum simulation frameworks and high-performance computing
  • Strong background in linear algebra and quantum mechanics
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)

Required Skills

Quantum Computing Algorithm Development Qiskit Q# Quantum Mechanics High-Performance Computing Cryptography AI Optimization

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