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Quantum Computing Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop next-generation algorithms and hardware prototypes that will redefine computational paradigms. You'll collaborate with Nobel laureates and industry disruptors in our Austin R&D hub, working with cutting-edge quantum processors to solve humanity's most complex challenges.

Our team operates at the intersection of physics, computer science, and artificial intelligence, creating breakthroughs that will power the next decade of innovation. We offer competitive compensation, unlimited PTO, and a $20k annual research stipend.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to co-design quantum processors
  • Lead research publications in top-tier journals and conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure federal and private research grants for quantum initiatives
  • Participate in quantum security standardization committees

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in quantum computing or quantum information theory
  • Expertise in quantum error correction and fault tolerance
  • Strong background in linear algebra, probability, and complex analysis
  • Experience with high-performance computing and HPC architectures
  • Security clearance or ability to obtain one

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Fault Tolerance Cryptography Machine Learning High-Performance Computing Research

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