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Quantum Computing Research Scientist - 2026 Vision

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum computing solutions that will redefine global industries. Our Austin-based innovation hub is assembling elite researchers to develop next-gen quantum algorithms, error-correction frameworks, and hybrid classical-quantum systems. You'll collaborate with Nobel laureates and industry pioneers in an environment that values intellectual curiosity and breakthrough thinking. This role offers unparalleled resources, flexible research parameters, and the opportunity to shape the quantum landscape for decades to come.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead error-correction protocol development for fault-tolerant quantum systems
  • Collaborate with hardware teams to validate quantum processor performance
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Develop hybrid quantum-classical machine learning frameworks
  • Secure competitive research grants and patents for intellectual property
  • Mentor junior researchers and foster cross-disciplinary innovation

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in quantum computing or theoretical physics
  • Deep understanding of quantum mechanics and linear algebra
  • Experience with high-performance computing environments
  • Strong analytical problem-solving and collaborative skills

Required Skills

Quantum Computing Quantum Algorithms Error Correction Q# Qiskit Fault-Tolerance Machine Learning High-Performance Computing Theoretical Physics

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