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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum Computing Researcher to develop next-gen algorithms that will redefine computational boundaries. As a key member of our Future Technologies division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. Our Austin headquarters features state-of-the-art labs with D-Wave and IBM quantum processors, plus unlimited R&D budget for groundbreaking projects. This role offers equity, flexible hours, and the chance to patent breakthrough discoveries that will shape the next decade of technology.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead cross-functional teams in prototyping quantum-classical hybrid systems
  • Publish research in top-tier journals and present at international conferences
  • Develop error-correction protocols for scalable quantum computing architectures
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Secure government and private funding for quantum computing initiatives
  • Mentor junior researchers in quantum information science principles

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum computing or quantum information theory
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with high-performance computing environments
  • Strong background in linear algebra and probability theory
  • Proven ability to secure competitive research grants

Required Skills

Quantum Computing Qiskit Q# Machine Learning Cryptography High-Performance Computing Linear Algebra Quantum Error Correction

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