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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms that will redefine industries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, working on projects with real-world impact from drug discovery to climate modeling.

Why Nexus Labs? We offer equity grants, unlimited R&D budgets, and the opportunity to publish groundbreaking research in top-tier journals. Our culture celebrates intellectual curiosity and provides 20% time for personal innovation projects.

Responsibilities

  • Design and implement novel quantum algorithms for practical industrial applications
  • Lead cross-functional teams of physicists, engineers, and data scientists
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Secure federal and private research grants ($1M+ annually)
  • Publish findings in Nature/Science and present at IEEE Quantum Week
  • Mentor PhD interns in quantum machine learning techniques

Qualifications

  • PhD in Quantum Computing, Physics, or related field (or equivalent industry experience)
  • 3+ years hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum algorithms or error correction
  • Expertise in quantum simulation frameworks and high-performance computing
  • Strong background in linear algebra, probability theory, and statistical mechanics
  • Experience securing government research grants (NSF/DOE/DARPA)
  • Proficiency with Python, C++, and cloud quantum platforms (IBM, AWS Braket)

Required Skills

Quantum Computing Qiskit Q# Error Correction Quantum Algorithms High-Performance Computing Machine Learning Linear Algebra Research Grant Writing

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