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Quantum Computing Research Scientist 2026

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026. We're seeking a visionary Research Scientist to develop breakthrough solutions in cryptography, materials science, and artificial intelligence. Our Austin-based team operates in a state-of-the-art facility with unlimited compute resources and collaborative innovation labs. This role offers unparalleled opportunity to shape the next generation of computational paradigms while working alongside Nobel laureates and industry pioneers. Enjoy competitive equity packages, flexible work arrangements, and dedicated R&D budgets for experimental projects.

Responsibilities

  • Design and execute quantum algorithms targeting real-world applications in drug discovery and climate modeling
  • Lead cross-functional teams of physicists, engineers, and data scientists to prototype quantum systems
  • Develop error-correction protocols for fault-tolerant quantum processors
  • Collaborate with government agencies on national quantum security initiatives
  • Publish groundbreaking research in peer-reviewed journals and at international conferences
  • Mentor junior researchers and contribute to quantum education programs

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoctoral experience
  • Published research in quantum computing or quantum information theory
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Experience with cryogenic quantum hardware systems
  • Strong background in linear algebra, probability theory, and computational complexity
  • Demonstrated ability to secure federal or corporate research grants
  • Security clearance eligibility preferred

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Qiskit Quantum Cryptography Machine Learning High-Performance Computing Research Methodology

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