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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum computing solutions for global industries. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware prototypes that will redefine computational capabilities. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve previously unsolvable problems in cryptography, materials science, and AI optimization. Our Austin campus features state-of-the-art cryogenic labs and a 100-qubit quantum processor. Enjoy flexible hybrid work, unlimited R&D budget, and equity in a company valued at $2B+.

Responsibilities

  • Design and implement quantum algorithms for enterprise-scale optimization problems
  • Develop error-correction techniques for fault-tolerant quantum systems
  • Lead cross-functional teams in prototyping quantum hardware modules
  • Publish peer-reviewed research in top-tier journals (Nature, Science, etc.)
  • Secure $5M+ in government and private research grants annually
  • Mentor PhD candidates in quantum information science
  • Translate theoretical models into practical industry applications

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on experience with quantum programming languages (Q#, Quil, etc.)
  • Published research in quantum error correction or topological quantum computing
  • Proficiency with quantum simulation tools (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, group theory, and complex analysis
  • Experience securing federal research grants (NSF, DoE, DARPA)
  • Proven track record of translating academic research into commercial products

Required Skills

Quantum Computing Qiskit Q# Cirq Quantum Error Correction Topological Computing Cryogenics Machine Learning Cryptography Linear Algebra

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