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Quantum AI Research Lead

Nexus Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Systems Inc. at the forefront of technological innovation as we pioneer the next generation of quantum-AI hybrid systems. We seek a visionary Quantum AI Research Lead to architect breakthrough solutions that will redefine computing paradigms by 2026. This role offers unparalleled opportunities to shape the future of artificial intelligence while collaborating with Nobel laureates and industry disruptors in our state-of-the-art San Francisco R&D facility.

Our team operates at the intersection of quantum mechanics and machine learning, developing algorithms that solve previously intractable problems. You'll lead a multidisciplinary squad of physicists, computer scientists, and engineers to prototype and scale quantum neural networks for enterprise applications. We offer competitive equity packages, flexible work arrangements, and access to cutting-edge quantum hardware.

Responsibilities

  • Design and implement quantum machine learning frameworks for next-gen AI applications
  • Lead cross-functional research teams in developing quantum neural network architectures
  • Collaborate with hardware teams to optimize quantum algorithms for real-world deployment
  • Publish breakthrough research in top-tier journals and industry conferences
  • Drive strategic partnerships with quantum hardware providers and academic institutions
  • Translate theoretical quantum-AI concepts into scalable commercial solutions
  • Mentor junior researchers and establish best practices for quantum-AI integration

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field with 5+ years industry experience
  • Proven expertise in quantum algorithms and hybrid quantum-classical systems
  • Strong publication record in Nature/Science or equivalent-tier journals
  • Proficiency in quantum programming frameworks (Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
  • Demonstrated experience leading R&D teams in high-stakes technical environments
  • Deep understanding of quantum error correction and fault-tolerant computing principles
  • Track record of translating theoretical concepts into practical commercial applications

Required Skills

Quantum Computing Machine Learning Neural Networks Algorithm Design Python C++ Qiskit Research Leadership

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