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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution in 2026. We're pioneering quantum-resistant cryptography and scalable quantum algorithms that will redefine computational boundaries. As a Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges. Our Austin campus features state-of-the-art quantum annealing facilities and offers competitive benefits including equity in breakthrough patents. Shape the future of secure communication and computational intelligence.

Responsibilities

  • Design and implement quantum error correction protocols for fault-tolerant computing systems
  • Lead cross-functional teams in developing quantum-optimized machine learning models
  • Publish peer-reviewed research in top-tier journals and present findings at international conferences
  • Collaborate with hardware engineers to bridge quantum algorithm implementation with hardware constraints
  • Secure research funding through federal grants and industry partnerships
  • Mentor PhD candidates and drive innovation through our quantum sandbox incubator

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Published research in quantum information theory or quantum algorithms
  • Proficiency in high-performance computing environments and parallel programming
  • Deep understanding of quantum entanglement and decoherence mitigation
  • Experience with tensor network simulations and quantum circuit optimization
  • Strong track record of translating theoretical concepts into practical applications

Required Skills

quantum computing quantum algorithms machine learning cryptography high-performance computing Qiskit Cirq tensor networks

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