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Quantum Computing Research Lead

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the technological frontier of 2026 as Nexus Labs' Quantum Computing Research Lead. We're pioneering the next generation of computational breakthroughs and seeking a visionary scientist to lead our quantum algorithms team. You'll drive groundbreaking research in quantum supremacy, error correction, and real-world applications while mentoring the next wave of quantum pioneers. Join us at the intersection of theoretical physics and practical innovation to solve humanity's most complex challenges.

Responsibilities

  • Lead quantum algorithm research and development for optimization, cryptography, and machine learning applications
  • Design and implement quantum error correction protocols for fault-tolerant systems
  • Collaborate with hardware teams to bridge theoretical concepts with physical quantum processors
  • Publish high-impact research in peer-reviewed journals and industry conferences
  • Develop strategic roadmaps for quantum computing adoption across healthcare and logistics sectors
  • Mentor PhD researchers and cross-functional innovation teams
  • Secure competitive research grants and partnerships with national laboratories

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 8+ years of research experience
  • Published record in quantum algorithms or quantum error correction (Nature/Science/IEEE)
  • Expertise in quantum programming languages (Q#, Quipper, Cirq) and simulation frameworks
  • Proven ability to translate theoretical models into experimental prototypes
  • Experience securing $1M+ in research funding from NSF/DARPA/industry consortia
  • Strong background in superconducting qubits or topological quantum systems
  • Exceptional leadership skills managing multidisciplinary research teams

Required Skills

Quantum Computing Quantum Algorithms Error Correction Superconducting Qubits Cirq Q# Research Leadership High-Performance Computing

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