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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/Quantum Integration Specialist (2026 Horizon)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Nexus Horizon Labs is pioneering the infrastructure for the next technological revolution. We are seeking a visionary Senior AI/Quantum Integration Specialist to join our elite engineering team and lead our strategic initiatives for 2026. In this pivotal role, you will bridge the gap between artificial intelligence and emerging quantum computing paradigms, building systems that define the future of enterprise computing.

As a key architect, you will work in a high-impact environment where your decisions will shape the roadmap for the next decade. We value deep technical expertise, creative problem-solving, and the ability to communicate complex concepts to diverse stakeholders.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable machine learning models optimized for hybrid quantum-classical computing environments.
  • Lead Integration Projects: Spearhead the integration of cutting-edge AI frameworks into our core infrastructure, ensuring seamless interoperability.
  • Roadmap Strategy: Define the technical vision for 2026, identifying emerging technologies and evaluating their feasibility for implementation.
  • Performance Optimization: Conduct rigorous testing and optimization of algorithms on next-generation hardware to maximize computational efficiency.
  • Talent Development: Mentor a team of brilliant engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Cross-Functional Collaboration: Partner with product managers, researchers, and security experts to deliver robust, future-proof solutions.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML development, cloud architecture, and system design.
  • Quantum Proficiency: Demonstrated experience with quantum programming languages (e.g., Qiskit, Cirq, or Forest) and an understanding of quantum algorithms.
  • Programming Skills: Strong proficiency in Python, TensorFlow, PyTorch, and high-performance computing (HPC) libraries.
  • Leadership: Proven track record of leading technical projects to completion and mentoring junior engineers.
  • Problem Solving: Ability to navigate ambiguity and solve complex, unstructured technical challenges.

Required Skills

Artificial Intelligence Quantum Computing Python Machine Learning TensorFlow PyTorch Cloud Architecture System Design Leadership

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