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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 2026's technological revolution as we pioneer quantum computing solutions that will reshape global industries. As a Quantum Computing Research Scientist, you'll design and implement next-generation quantum algorithms, collaborate with Nobel laureates, and contribute to projects that will define the next decade of scientific advancement. Our Austin campus features state-of-the-art quantum annealing facilities and offers unparalleled resources for groundbreaking research.

We're seeking visionary minds who thrive at the intersection of physics, computer science, and mathematics. This role offers competitive equity packages, flexible research schedules, and the opportunity to publish in leading journals while contributing to humanity's most ambitious technological frontier.

Responsibilities

  • Develop novel quantum algorithms for optimization and simulation problems
  • Design and implement error correction protocols for quantum systems
  • Collaborate with hardware engineers to translate theoretical models into practical implementations
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of experience in quantum algorithm development
  • Proficiency with quantum programming languages (Q#, Qiskit, or Cirq)
  • Strong background in linear algebra, probability theory, and quantum mechanics
  • Publication record in top-tier quantum computing conferences
  • Experience with superconducting or photonic quantum systems
  • Ability to secure federal research grants (NSF/DOE preferred)

Required Skills

Quantum Computing Quantum Algorithms Error Correction Q# Machine Learning Superconducting Systems Linear Algebra Theoretical Physics

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