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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 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 Quantum Computing Research Scientist to develop next-gen algorithms and hardware prototypes that will redefine computational paradigms. This role offers unparalleled opportunities to publish breakthrough research, collaborate with Nobel laureates, and shape the future of quantum technology.

Our Austin campus features state-of-the-art quantum labs, competitive benefits including equity packages, and a culture that celebrates intellectual curiosity. We offer relocation assistance and flexible work arrangements to attract top global talent.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation challenges
  • Lead experimental quantum hardware prototyping and error mitigation research
  • Develop quantum machine learning frameworks for commercial applications
  • Collaborate with cross-functional teams to translate research into patentable innovations
  • Secure federal grants and publish in top-tier journals (Nature, Science, etc.)
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in quantum computing or theoretical physics
  • Strong background in linear algebra, probability theory, and computational complexity
  • Demonstrated ability to secure research funding or industry partnerships
  • Experience with superconducting or ion-trap quantum systems preferred

Required Skills

quantum computing quantum algorithms quantum hardware machine learning cryptography superconducting circuits quantum error correction research methodology

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