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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

Nexus Labs
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a Quantum Computing Researcher to develop next-generation algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of technology in our state-of-the-art Austin facility.

As part of our elite research team, you'll collaborate with Nobel laureates and industry pioneers to solve complex problems in cryptography, material science, and AI optimization. We provide competitive compensation, cutting-edge resources, and a culture that rewards bold innovation.

Responsibilities

  • Design and implement quantum algorithms for practical 2026-era applications
  • Lead experimental research on quantum error correction and qubit stability
  • Collaborate with hardware teams to optimize quantum-processor integration
  • Develop simulation frameworks for quantum-classical hybrid systems
  • Publish findings in leading scientific journals and industry whitepapers
  • Mentor junior researchers in quantum computing methodologies
  • Secure research funding through grant proposals and industry partnerships

Qualifications

  • PhD in Physics, Computer Science, or related quantum discipline
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in linear algebra, probability, and computational complexity
  • Experience with cryogenic systems and quantum hardware interfaces
  • Strong track record of securing research grants or industry funding
  • Ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Cryogenic Systems Quantum Error Correction Scientific Research Machine Learning

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