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Information Technology 🏒 Full Time ⭐️ Verified

Strategic AI & Quantum Integration Lead

Nexus Horizon AI
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Are you ready to define the trajectory of humanity's technological future? Nexus Horizon AI is seeking a visionary Strategic AI & Quantum Integration Lead to spearhead our research into the convergence of quantum computing and artificial intelligence. Based in our San Francisco headquarters, you will be responsible for architecting systems that are not only cutting-edge but also ethically grounded and scalable.

In this role, you will bridge the gap between theoretical physics and practical machine learning. You will lead a world-class team of engineers and researchers dedicated to solving the most complex challenges in predictive modeling and autonomous systems. If you are a leader who thrives on innovation and wants to build the infrastructure for the next decade, this is your opportunity.

Responsibilities

  • Architect and oversee the integration of quantum algorithms into large-scale neural networks and deep learning models.
  • Lead and mentor a diverse team of AI researchers, quantum physicists, and software engineers.
  • Define the long-term technical roadmap for AI infrastructure, ensuring scalability and future-proofing.
  • Establish industry-leading ethical guidelines and safety protocols for autonomous AI agents.
  • Collaborate with executive leadership to translate complex technical capabilities into strategic business value.
  • Drive the adoption of new hardware acceleration technologies to optimize AI inference speeds.
  • Represent the company at major tech conferences and industry forums.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related engineering field.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior leadership role.
  • Expert-level proficiency in Python, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Qiskit, Cirq).
  • Deep understanding of deep learning architectures, including Transformers, GANs, and Reinforcement Learning.
  • Proven track record of managing multi-million dollar R&D budgets and cross-functional teams.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Demonstrated passion for the ethical implications of AI and quantum technology.

Required Skills

Python TensorFlow Quantum Computing Machine Learning System Architecture Deep Learning NLP Leadership R&D

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