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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms, optimize quantum systems, and solve previously unsolvable computational challenges. Our Austin-based innovation hub offers state-of-the-art facilities, unparalleled resources, and a culture that rewards intellectual curiosity and collaborative excellence.

Responsibilities

  • Design and implement quantum algorithms for cryptography, optimization, and machine learning applications
  • Lead experiments on quantum hardware systems to validate theoretical models
  • Collaborate with cross-functional teams to integrate quantum solutions into existing frameworks
  • Publish research in peer-reviewed journals and present findings at international conferences
  • Develop quantum error correction protocols to enhance system reliability
  • Contribute to patent development for novel quantum methodologies
  • Mentor junior researchers and foster a culture of scientific innovation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years of research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
  • Proven track record of published work in quantum information theory or related fields
  • Strong mathematical foundations in linear algebra, probability, and complex analysis
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Proficiency in high-performance computing and parallel programming paradigms
  • Demonstrated ability to secure research funding through grants and industry partnerships

Required Skills

Quantum Computing Quantum Algorithms Cryptography Machine Learning Qiskit Cirq Q# Research Methodology High-Performance Computing

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