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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Labs at the forefront of computational revolution! We're pioneering quantum algorithms that will redefine 2026's technological landscape. As a Quantum Computing Research Scientist, you'll develop breakthrough solutions for complex optimization problems in cryptography, AI, and materials science. Our state-of-the-art lab in Austin offers unparalleled resources to explore uncharted computational territories.

What you'll achieve: Design novel quantum circuits, publish high-impact research, and collaborate with Nobel laureates to shape the next decade of innovation. We provide competitive equity packages and flexible R&D budgets for revolutionary projects.

Responsibilities

  • Develop proprietary quantum algorithms for real-world industrial applications
  • Lead cross-functional teams in prototyping quantum solutions for Fortune 500 clients
  • Author peer-reviewed publications and secure patents in quantum computing
  • Optimize quantum error correction protocols for commercial scalability
  • Mentor junior researchers in quantum machine learning methodologies
  • Present breakthrough findings at global tech conferences (e.g., IEEE Quantum Week)

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Publication record in Nature/Science or top-tier quantum computing journals
  • Expertise in quantum error correction and fault-tolerant architectures
  • Experience with high-performance computing environments (HPC, cloud quantum platforms)
  • Strong background in linear algebra and complex systems theory
  • Track record of translating theoretical models into experimental prototypes

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cryptography Machine Learning Fault-Tolerant Systems High-Performance Computing Linear Algebra

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