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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to architect next-gen algorithms and contribute to breakthroughs in cryptography, optimization, and AI. Our Austin-based hub offers state-of-the-art labs, collaborative innovation spaces, and the resources to transform theoretical concepts into real-world applications.

What you'll impact: Develop quantum algorithms that solve previously impossible computational challenges. Collaborate with Nobel laureates and industry pioneers in a culture that values audacious thinking. Shape the future of technology while enjoying Austin's vibrant tech ecosystem and work-life balance.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to translate theoretical models into practical applications
  • Publish findings in leading journals and present at international conferences
  • Develop quantum machine learning frameworks for predictive analytics
  • 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
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum mechanics principles and information theory
  • Track record of peer-reviewed publications in quantum computing
  • Experience with high-performance computing and parallel processing
  • Strong problem-solving skills and ability to communicate complex concepts

Required Skills

Quantum Computing Algorithm Design Qiskit Q# Machine Learning Cryptography High-Performance Computing Research Methodology

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