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Quantum AI Research Lead

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the future at Nexus Labs, where quantum computing meets artificial intelligence. We're pioneering the next frontier of computational intelligence, and we need visionary leaders to accelerate our 2026 roadmap. Join our elite team of physicists, machine learning experts, and systems architects in creating breakthrough technologies that will redefine industries.

As a Quantum AI Research Lead, you'll drive the development of hybrid quantum-classical systems that solve previously impossible problems. Our state-of-the-art facility in San Francisco offers unparalleled resources, including access to quantum processors, advanced simulation environments, and cross-functional collaboration with Nobel laureates and industry pioneers.

We offer competitive equity packages, flexible work arrangements, and continuous learning opportunities through our Nexus Academy. Help us build the quantum-powered future today.

Responsibilities

  • Lead research initiatives in quantum machine learning algorithms for 2026-era applications
  • Design and implement hybrid quantum-classical architectures for enterprise-scale problems
  • Mentor a multidisciplinary team of quantum researchers and AI specialists
  • Publish findings in top-tier journals and present at industry conferences
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Develop proprietary quantum AI frameworks and intellectual property
  • Secure research partnerships with leading academic institutions and quantum hardware providers

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Proven expertise in quantum algorithms and quantum error correction techniques
  • Strong background in machine learning frameworks (TensorFlow, PyTorch) and high-performance computing
  • Published research in quantum computing or quantum machine learning (arXiv, Nature, etc.)
  • Experience leading technical teams and managing research projects
  • Familiarity with quantum hardware platforms (IBM Q, Rigetti, IonQ) and cloud quantum services
  • Expertise in Python/C++ and quantum programming languages (Qiskit, Q#)

Required Skills

Quantum Computing Machine Learning Physics Python C++ Research Data Analysis Quantum Algorithms Error Correction

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