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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of computational revolution as we pioneer quantum algorithms for 2026's most critical challenges. We seek a visionary Quantum Computing Research Scientist to develop breakthrough solutions in cryptography, AI optimization, and molecular simulation. Our Austin-based innovation hub offers unparalleled resources including access to next-gen quantum processors and a world-class interdisciplinary team.

What You'll Achieve:
Design quantum circuits that outperform classical systems by 10x
Lead cross-functional projects with AI and materials science teams
Secure patents in quantum machine learning methodologies
Mentor the next generation of quantum engineers

Responsibilities

  • Architect and implement novel quantum algorithms for real-world applications
  • Collaborate with hardware engineers to optimize quantum gate operations
  • Publish breakthrough research in top-tier journals (Nature, Science, etc.)
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Secure $5M+ in government and private research grants
  • Present findings at global quantum computing conferences (Q2C, etc.)
  • Mentor PhD researchers in quantum complexity theory

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in at least one classical programming language (Python, C++)
  • Strong background in linear algebra and quantum mechanics
  • Proven track record of securing research funding
  • Experience with superconducting or trapped-ion quantum systems
  • Excellent presentation skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Machine Learning Cryptography Fault-Tolerant Systems Research Methodology Python C++ Linear Algebra

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