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Quantum Computing Research Lead

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

Job Description

Join Nexus Quantum Labs at the forefront of the quantum revolution as we pioneer breakthrough technologies for 2026 and beyond. We're seeking an elite Quantum Computing Research Lead to architect next-generation quantum algorithms and drive innovation in computational science. This role offers unparalleled opportunities to shape the future of technology while collaborating with Nobel laureates and industry pioneers in our state-of-the-art Austin facility. You'll lead cross-functional teams to solve previously unsolvable problems in cryptography, materials science, and artificial intelligence.

Responsibilities

  • Design and implement quantum algorithms for complex computational challenges
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish breakthrough research in peer-reviewed journals and industry conferences
  • Develop quantum simulation frameworks for classical-quantum hybrid workflows
  • Mentor junior researchers and establish quantum computing best practices
  • Secure patents for novel quantum methodologies and IP protection

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and circuit optimization
  • Proven track record publishing in Nature/Science journals or IEEE Quantum
  • Deep understanding of quantum entanglement, superposition, and decoherence
  • Experience with quantum machine learning algorithms and variational methods
  • Strong background in high-performance computing and parallel architectures
  • Exceptional problem-solving skills for NP-hard computational problems

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Quantum Error Correction Quantum Machine Learning High-Performance Computing

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