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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead Quantum AI Research Engineer

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

The Future of Intelligence is Here.

Nexus Horizon Systems is at the forefront of the 2026 niche, pioneering the convergence of Quantum Computing and Artificial Intelligence. We are seeking a visionary Lead Quantum AI Research Engineer to architect the next generation of computational models that will redefine the technological landscape.

In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical machine learning applications. You will lead a high-performance team in developing hybrid quantum-classical algorithms capable of solving problems currently deemed unsolvable by classical silicon.

Why Join Us?

  • Work on cutting-edge technology that prepares the industry for the 2026 horizon.
  • Competitive equity package and top-tier compensation.
  • Collaborative environment with world-renowned physicists and data scientists.

Responsibilities

  • Design, develop, and optimize hybrid quantum-classical algorithms for complex problem-solving.
  • Lead a team of researchers and engineers in advancing the 2026 niche roadmap.
  • Conduct rigorous theoretical research and validate models using on-premise quantum processors.
  • Collaborate with software engineers to integrate quantum modules into scalable cloud platforms.
  • Publish high-impact research papers and present findings at global tech conferences.
  • Define technical best practices and standards for quantum software development.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
  • 5+ years of experience in machine learning, AI, or quantum computing research.
  • Deep understanding of quantum mechanics and quantum information theory.
  • Proficiency in Python, TensorFlow, PyTorch, and quantum software stacks (Qiskit, Cirq, or PennyLane).
  • Experience with cloud infrastructure (AWS, Azure, GCP) and containerization (Docker/Kubernetes).
  • Strong leadership skills with a proven track record of managing technical teams.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python Cirq Qiskit Algorithm Design Cloud Infrastructure Research Leadership

Ready to Take This Challenge?

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