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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of the 2026 technological revolution. We're pioneering quantum-resistant cryptography and fault-tolerant quantum systems to redefine global security paradigms. As a Quantum Computing Research Scientist, you'll collaborate with Nobel laureates and MIT-affiliated researchers in our Austin R&D hub. This role offers unparalleled access to IBM Quantum System Two and exclusive partnerships with NASA and DARPA. Shape the future of computational physics while contributing to projects that will secure critical infrastructure for decades to come.

Responsibilities

  • Design and implement quantum algorithms for cryptographic applications using Qiskit and Cirq frameworks
  • Lead experimental validation of quantum error correction protocols in cryogenic environments
  • Develop hybrid quantum-classical machine learning models for predictive analytics
  • Author peer-reviewed publications for Nature Quantum and IEEE journals
  • Collaborate with hardware engineers to optimize qubit coherence times
  • Present breakthrough findings at international quantum computing symposiums
  • Mentor postdoctoral researchers on quantum information theory

Qualifications

  • PhD in Quantum Physics, Computer Science, or Computational Mathematics with 3+ years industry experience
  • Proficiency in quantum programming languages (Q#, Quil, or Qiskit) and Python/C++
  • Published research in quantum cryptography or fault-tolerant architectures
  • Hands-on experience with quantum annealing systems (D-Wave Advantage) or superconducting qubits
  • Deep understanding of Shor's algorithm, Grover's search, and quantum key distribution
  • Security clearance eligibility (preferred for government collaboration projects)
  • Track record of securing research grants from NSF or DoE

Required Skills

quantum computing cryptography qiskit Cirq quantum error correction machine learning cryogenics Python C++ Q# quantum annealing

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