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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Labs at the forefront of quantum computing revolution as we pioneer breakthroughs that will redefine 2026's technological landscape. We're seeking a visionary Quantum Computing Research Scientist to develop scalable quantum algorithms and solve complex computational challenges in cryptography, material science, and AI optimization. Our Austin-based team operates in a state-of-the-art facility with cutting-edge quantum hardware and collaborative research environments.

As a key member of our Future Technologies Division, you'll collaborate with Nobel laureates, publish in top-tier journals, and contribute to patentable innovations that will shape the next decade of computing. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated research budgets for conferences and collaborations.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems and machine learning applications
  • Develop error correction protocols to enhance quantum system stability and scalability
  • Lead cross-functional research teams in quantum cryptography and secure communication systems
  • Publish findings in peer-reviewed journals and present at international quantum computing conferences
  • Collaborate with hardware engineers to validate quantum algorithms on actual quantum processors
  • Identify commercial applications for quantum computing in finance, logistics, and pharmaceuticals
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years of research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical high-performance computing
  • Published record in quantum algorithms or quantum information theory
  • Experience with quantum hardware platforms (IBM Q, Rigetti, or IonQ)
  • Strong background in linear algebra, probability theory, and statistical mechanics
  • Demonstrated ability to secure competitive research grants and industry partnerships
  • Expertise in at least one classical high-performance computing framework (CUDA, OpenMP)
  • Excellent communication skills with ability to translate complex concepts for diverse stakeholders

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Cryptography Machine Learning High-Performance Computing Research PhD

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