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Quantum Computing Research Scientist 2026

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and solve previously impossible computational challenges. Collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, where your work will directly shape the future of AI, cryptography, and materials science.

Our team operates at the intersection of theoretical physics and practical application, offering unparalleled resources including 128-qubit processors and dedicated quantum annealing clusters. You'll contribute to projects that will redefine computational boundaries while enjoying competitive compensation, flexible work arrangements, and access to cutting-edge research facilities.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead research initiatives in quantum error correction and fault-tolerant computing systems
  • Develop hybrid quantum-classical frameworks for real-world industrial applications
  • Collaborate with hardware teams to optimize quantum processor performance metrics
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Secure $5M+ in government grants and industry partnerships for 2026 initiatives
  • Mentor junior researchers and supervise PhD-level quantum computing interns

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
  • 3+ years hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum algorithm development or quantum error correction
  • Proficiency in quantum circuit design and simulation tools
  • Demonstrated ability to secure research funding through NSF or DoD grants
  • Strong background in linear algebra, complex analysis, and computational complexity theory
  • Experience with cloud-based quantum computing platforms (IBM Quantum, Rigetti)
  • Track record of cross-functional collaboration between theoretical and applied research teams

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Quantum Error Correction Machine Learning Cryptography Research Funding Cloud Computing Linear Algebra

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