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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're pioneering quantum algorithms that will redefine industries by 2026. Our Austin-based team develops next-gen quantum processors and hybrid classical-quantum frameworks. You'll collaborate with Nobel laureates and work in our state-of-the-art cryogenic lab to solve previously impossible challenges in cryptography, material science, and AI optimization. We offer competitive equity packages, flexible hybrid work, and unparalleled professional development in the quantum ecosystem.

Responsibilities

  • Design and implement quantum algorithms for practical commercial applications
  • Optimize quantum circuit architectures for fault-tolerant systems
  • Lead research on quantum error correction and decoherence mitigation
  • Collaborate with hardware teams to translate theoretical models into scalable quantum processors
  • Publish breakthrough research in top-tier journals and industry whitepapers
  • Develop quantum machine learning frameworks for enterprise solutions
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years 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
  • Proficiency in high-performance computing environments (HPC)
  • Experience with machine learning frameworks (PyTorch, TensorFlow)
  • Excellent problem-solving skills with ability to tackle open-ended research challenges

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Error Correction Machine Learning HPC Cryptography Python

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