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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Architect (2026 Roadmap)

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

Job Description

Are you ready to shape the future of computing?

Nexus Horizon Technologies is seeking a visionary Lead AI & Quantum Architect to define our 2026 technology roadmap. As a pioneer in next-generation computational systems, we are looking for a leader who can bridge the gap between theoretical quantum mechanics and scalable, practical AI infrastructure. If you are passionate about pushing the boundaries of what is possible in machine learning and high-performance computing, we want to meet you.

In this high-impact role, you will be responsible for architecting systems that integrate neural networks with quantum algorithms, ensuring our platforms remain at the forefront of the industry.

Responsibilities

  • Strategic Roadmap Planning: Define and execute the technical vision for AI and quantum integration by 2026, aligning with business objectives.
  • System Architecture: Design and oversee the development of robust, scalable AI infrastructure capable of handling complex quantum data sets.
  • R&D Leadership: Lead a team of elite engineers and researchers to prototype and validate cutting-edge algorithms.
  • Performance Optimization: Continuously optimize model latency, throughput, and energy efficiency in cloud environments.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate business needs into technical specifications.
  • Compliance & Safety: Ensure all systems adhere to rigorous security standards and ethical AI guidelines.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Physics, Mathematics, or a related field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in leading AI/ML architecture.
  • Technical Skills: Deep expertise in Python, C++, and frameworks such as PyTorch or TensorFlow.
  • Quantum Knowledge: Strong understanding of quantum computing principles, Qiskit, or similar frameworks is highly preferred.
  • Cloud Proficiency: Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Leadership: Proven track record of managing high-performance engineering teams and mentoring junior developers.

Required Skills

Python Machine Learning Quantum Computing System Architecture Cloud Computing AWS GCP PyTorch TensorFlow Kubernetes Leadership

Ready to Take This Challenge?

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