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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and architectures that will redefine computing paradigms. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin facility, where breakthroughs become reality.

Our team operates at the intersection of physics, computer science, and artificial intelligence, creating systems that solve previously impossible problems. With competitive equity packages, unlimited learning stipends, and flexible work arrangements, we empower you to push boundaries while maintaining work-life harmony.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead cross-functional teams in developing fault-tolerant quantum processors
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with AI teams to integrate quantum-classical hybrid systems
  • Secure $5M+ in research grants through innovative proposal development
  • Mentor PhD candidates and junior researchers in quantum physics
  • Drive intellectual property strategy with 15+ patents filed annually

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years of hands-on quantum computing research experience
  • Expertise in quantum error correction and fault-tolerant architectures
  • Published work in Nature/Science or equivalent high-impact journals
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Demonstrated success in securing research funding
  • Strong background in machine learning and high-performance computing

Required Skills

Quantum Computing Quantum Algorithms Fault-Tolerant Systems Machine Learning Qiskit Q# Research High-Performance Computing AI Integration

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