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Quantum Computing Research Scientist

NexusLabs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join NexusLabs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and hardware prototypes that will redefine computational boundaries. You'll collaborate with Nobel laureates in our state-of-the-art Austin lab, contributing to projects that could accelerate drug discovery, optimize climate models, and revolutionize artificial intelligence. This role offers unparalleled opportunities to publish in Nature/Science journals and shape the future of quantum technology.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation challenges
  • Develop error-corrected qubit architectures using superconducting and photonic systems
  • Lead cross-functional teams in translating theoretical models into experimental prototypes
  • Publish high-impact research in peer-reviewed journals and present at international conferences
  • Collaborate with industry partners to commercialize quantum applications in finance and healthcare
  • Mentor junior researchers and contribute to quantum computing curriculum development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Expertise in quantum error correction codes and fault-tolerant architectures
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published record in quantum computing or condensed matter physics
  • Experience with cryogenic systems and microwave control electronics
  • Demonstrated ability to secure competitive research grants (NSF, DoE, DARPA)
  • Strong background in machine learning for quantum system optimization

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Engineering Qiskit Q# Fault Tolerance Superconducting Qubits Machine Learning

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