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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Integration Engineer

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 210.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the computing landscape of 2026? Nexus Horizon Labs is pioneering the convergence of classical Artificial Intelligence and emerging Quantum Computing paradigms. We are seeking a visionary Senior AI & Quantum Integration Engineer to lead our research division and build scalable systems for the future.

In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical AI deployment. You will design the infrastructure that powers our next-generation autonomous agents, ensuring they are robust, secure, and ready for the demands of the year 2026 and beyond.

Why Join Nexus Horizon Labs?

  • Future-Proof Technology: Work at the forefront of AI and Quantum computing integration.
  • Competitive Compensation: Top-tier salary and equity package.
  • Premium Work Environment: Collaborative, high-performance culture in the heart of San Francisco.

If you are passionate about pushing the boundaries of what is computationally possible, we want to hear from you.

Responsibilities

  • Design & Architecture: Lead the architectural design of hybrid AI-Quantum systems, ensuring seamless integration of classical ML pipelines with quantum processors.
  • System Optimization: Optimize algorithms for quantum supremacy and ensure scalability for 2026 enterprise demands.
  • R&D Leadership: Spearhead research initiatives into new quantum error correction methods and their application in generative AI models.
  • Team Mentorship: Mentor a team of junior engineers and data scientists, fostering a culture of continuous innovation and technical excellence.
  • Protocol Development: Develop and implement secure communication protocols for distributed AI agents in a quantum environment.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related field with a focus on Computational Intelligence.
  • Experience: Minimum 5+ years of experience in AI/ML engineering, with at least 2 years specifically in Quantum Computing or advanced distributed systems.
  • Technical Stack: Proficiency in Python, TensorFlow/PyTorch, and experience with quantum SDKs (e.g., Qiskit, Cirq, or AWS Braket).
  • Problem Solving: Exceptional ability to solve complex problems involving high-dimensional data and uncertainty.
  • Leadership: Proven track record of leading technical teams and managing cross-functional projects from conception to deployment.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Python Distributed Systems System Architecture AWS Quantum SDKs

Ready to Take This Challenge?

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