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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek a visionary Research Scientist to develop scalable quantum algorithms and hybrid quantum-classical systems that will redefine industries. Collaborate with world-class physicists and engineers in our state-of-the-art Austin facility, where your work will directly impact breakthroughs in cryptography, AI optimization, and material science. This role offers unparalleled opportunities to shape the next generation of computational technology while working alongside Nobel laureates and industry pioneers.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Lead research on quantum error correction techniques for fault-tolerant systems
  • Develop hybrid quantum-classical machine learning frameworks
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Publish findings in top-tier journals and present at international conferences
  • Secure research funding through grant proposals and industry partnerships
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra, probability, and computational complexity
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)
  • Track record of securing research grants or industry partnerships

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Machine Learning Cryptography Research Python Linear Algebra

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