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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. We're pioneering quantum algorithms that will redefine industries by 2026. As a Research Scientist, you'll architect breakthrough solutions in cryptography, optimization, and material science within our state-of-the-art Austin facility. Collaborate with Nobel laureates and AI pioneers to translate quantum theory into real-world applications.

We offer competitive equity packages, unlimited R&D budget, and flexible hybrid work arrangements. Your work will directly impact the next generation of secure communication systems and accelerated drug discovery pipelines.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Lead cross-functional teams in prototyping quantum-resistant cryptographic systems
  • Develop error-correction protocols for fault-tolerant quantum processors
  • Publish peer-reviewed research in top-tier journals and conferences
  • Collaborate with hardware teams to bridge theoretical models with practical implementations
  • Secure $1M+ in annual R&D grants through NSF and DARPA proposals
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
  • Published research in quantum error correction or quantum supremacy
  • Expertise in linear algebra and quantum information theory
  • Strong Python/C++ programming skills with high-performance computing experience
  • Track record of securing government or corporate research grants

Required Skills

Quantum Computing Quantum Algorithms Cryptography Python C++ Qiskit Error Correction Machine Learning

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