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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll develop breakthrough algorithms and architectures to solve previously impossible computational challenges. Collaborate with world-class engineers in our state-of-the-art Austin facility, where innovation meets impact. This role offers unparalleled opportunities to shape the future of computing and contribute to projects that will accelerate scientific discovery across medicine, finance, and AI.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead R&D initiatives in quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical computing frameworks for enterprise applications
  • Publish groundbreaking research in top-tier scientific journals and conferences
  • Collaborate with cross-functional teams to translate quantum solutions into commercial products
  • Secure and manage research grants from government and industry partners
  • Mentor junior researchers and drive quantum literacy initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum computing platforms (e.g., IBM Q, Rigetti, IonQ)
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Proven track record of publishing peer-reviewed quantum computing research
  • Strong background in linear algebra, complex analysis, and computational theory
  • Experience with cloud-based quantum computing services and simulation tools
  • Demonstrated ability to lead complex technical projects and secure research funding

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Quantum Cryptography Machine Learning Python High-Performance Computing

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