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Quantum Computing Researcher

Nexus Labs
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 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 visionary Quantum Computing Researchers to develop next-generation algorithms and architectures that will redefine computational paradigms. This role offers unparalleled opportunity to work with industry-leading quantum hardware and collaborate with Nobel Prize-winning scientists in our state-of-the-art Austin research facility. Enjoy competitive compensation, flexible work arrangements, and comprehensive benefits including equity and professional development stipends.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction techniques for scalable quantum systems
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Publish groundbreaking research in peer-reviewed journals and leading conferences
  • Lead cross-functional teams to translate theoretical models into practical applications
  • Secure federal and private research funding through compelling proposals
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent research experience)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Deep understanding of quantum algorithms, complexity theory, and quantum information
  • Proven track record of peer-reviewed publications in quantum computing
  • Expertise in high-performance computing and parallel processing
  • Strong mathematical background in linear algebra, probability, and group theory
  • Excellent communication skills with ability to articulate complex concepts

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction High-Performance Computing Linear Algebra Research

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