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Quantum Computing Research Scientist

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

Job Description

Join Nexus 2026 Labs at the forefront of quantum revolution! We're pioneering next-gen computational paradigms that will redefine 2026's technological landscape. As a Quantum Computing Research Scientist, you'll architect breakthrough solutions in cryptography, AI optimization, and material science. Our Austin-based innovation hub offers unparalleled resources to transform theoretical quantum mechanics into real-world applications.

Be part of a team where Nobel laureates collaborate with visionary engineers to solve humanity's most complex challenges. We provide cutting-edge lab facilities, competitive equity packages, and flexible work arrangements designed for peak innovation.

Responsibilities

  • Lead quantum algorithm development for 2026-era applications
  • Design and optimize quantum error correction protocols
  • Collaborate with hardware teams to bridge theoretical and practical quantum computing
  • Publish breakthrough research in top-tier journals and conferences
  • Secure external funding through NSF and DARPA proposals
  • Mentor junior researchers in quantum methodologies
  • Develop quantum machine learning frameworks for industry partners

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published work in quantum information theory or quantum algorithms
  • Deep understanding of quantum decoherence and error mitigation
  • Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
  • Strong background in linear algebra and probability theory
  • Track record of securing research grants or patents

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Quantum Error Correction Quantum Machine Learning Cryptography Research Methodology

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