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Future Tech Lead: Quantum & AI Integration Specialist

Horizon 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are looking for a visionary Future Tech Lead to pioneer the integration of Quantum Computing and Artificial Intelligence. As we approach the technological horizon of 2026, our team is building the infrastructure that will define the next era of digital evolution.

In this role, you will bridge the gap between theoretical physics and practical software engineering, leading a high-performance team dedicated to solving complex problems that traditional silicon-based computers cannot handle. You will shape the roadmap for our flagship quantum AI platform, ensuring we remain at the cutting edge of innovation.

Why Join Us?
We offer competitive equity packages, remote-first flexibility, and the opportunity to work on projects that will change the world.

Responsibilities

  • Architect Future-Proof Systems: Design and oversee the development of scalable quantum algorithms integrated with deep learning models.
  • Lead Technical Vision: Define the technical roadmap for Horizon 2026, identifying emerging trends in quantum supremacy and edge AI.
  • Team Mentorship: Guide a diverse team of engineers, researchers, and data scientists in advanced software development practices.
  • Collaboration: Partner with cross-functional departments to translate complex scientific concepts into user-friendly applications.
  • Performance Optimization: Ensure high availability and efficiency of our hybrid quantum-classical systems.
  • Research & Development: Conduct proof-of-concept experiments to validate new quantum approaches for real-world business challenges.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Physics, Applied Mathematics, or a related technical field.
  • Experience: 5+ years of experience in software engineering, with at least 2 years specifically focused on AI/ML or Quantum Computing research.
  • Technical Skills: Proficiency in Python, C++, and Qiskit or Cirq frameworks. Strong understanding of neural networks and machine learning pipelines.
  • Leadership: Proven track record of leading engineering teams and managing technical projects from conception to deployment.
  • Innovation: Demonstrated ability to think creatively and solve ambiguous problems in emerging technology landscapes.
  • Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ Deep Learning Cloud Architecture System Design Leadership Research

Ready to Take This Challenge?

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