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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 150.000 – USD 200.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and architectures that will redefine industries. Our Austin-based innovation hub offers state-of-the-art facilities and unparalleled collaboration opportunities with Nobel laureates and industry pioneers. Shape the future of computation while enjoying competitive benefits, flexible work arrangements, and dedicated R&D funding.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental research on quantum hardware systems including superconducting qubits and photonic processors
  • Develop error correction protocols and fault-tolerant quantum computing architectures
  • Collaborate with cross-functional teams to integrate quantum solutions with classical computing frameworks
  • Publish peer-reviewed research and present findings at leading conferences
  • Secure external funding through NSF and DoD grants
  • Mentor junior researchers and drive quantum literacy initiatives

Qualifications

  • PhD in Physics, Computer Science, Electrical Engineering, or related field
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Expertise in quantum error correction and fault tolerance protocols
  • Published research in quantum computing or quantum information theory
  • Strong background in linear algebra, quantum mechanics, and complexity theory
  • Experience with cryogenic quantum hardware and control systems
  • Proven track record of securing research grants and funding
  • Excellent communication and leadership skills

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Fault Tolerance Cryogenic Systems Machine Learning Cryptography Linear Algebra Research Grants

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