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Quantum Computing Research Scientist 2026

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
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. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and architectures that will redefine computational boundaries. Our Austin-based innovation hub offers cutting-edge resources and a collaborative environment where your breakthrough ideas will shape the future of technology.

Why Nexus Labs? We offer competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art Quantum Research Center. This role is ideal for candidates passionate about solving humanity's most complex challenges through quantum innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead research on quantum error correction techniques for fault-tolerant systems
  • Collaborate with hardware teams to develop quantum architectures targeting 2026 deployment milestones
  • Publish high-impact research in peer-reviewed journals and industry conferences
  • Secure federal and private funding for quantum computing initiatives
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Physics, or related computational field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Demonstrated track record of peer-reviewed publications in quantum computing
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra and quantum information theory
  • Experience with high-performance computing and parallel processing

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Machine Learning High-Performance Computing Linear Algebra

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