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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 150.000 – USD 225.000
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 solutions for 2026 and beyond. Our Austin-based research center is seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and hardware architectures that will redefine computational capabilities.

We offer a collaborative environment with cutting-edge resources, competitive compensation, and the opportunity to shape the future of quantum technology. If you're passionate about solving humanity's most complex challenges through quantum innovation, we invite you to apply.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols and quantum hardware interfaces
  • Lead experimental validation of quantum systems in cryogenic environments
  • Collaborate with cross-functional teams to integrate quantum solutions into classical computing frameworks
  • Publish research in peer-reviewed journals and present at international conferences
  • Secure external funding through NSF and DARPA grants
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Physics, Computer Science, or related quantum field
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum circuit design and quantum error correction
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Demonstrated ability to publish high-impact research papers
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Experience with cryogenic systems and quantum hardware integration
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Quantum Hardware Cryogenics Machine Learning High-Performance Computing

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