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Senior AI & Quantum Systems Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are Nexus Horizon, a pioneering research lab at the forefront of next-generation computing. We are looking for a visionary Senior AI & Quantum Systems Architect to lead our strategic initiatives in 2026 and beyond. In this role, you will bridge the gap between classical machine learning and emerging quantum architectures, building systems that are not just scalable, but revolutionary.

Join us to shape the digital infrastructure of the future and work with a team of elite engineers and data scientists dedicated to solving humanity's most complex challenges through advanced technology.

Why Join Us?

  • Impactful Work: Directly influence the roadmap of next-gen AI systems.
  • Competitive Compensation: Top-tier salary and equity package.
  • Flexible Environment: Hybrid work model based in the heart of San Francisco.

Responsibilities

  • Architect and design robust, scalable AI systems integrating quantum computing principles.
  • Lead the research and implementation of advanced algorithms for predictive modeling and neural networks.
  • Collaborate with cross-functional teams to define technical requirements and system boundaries.
  • Oversee code reviews, system testing, and deployment strategies for high-stakes projects.
  • Stay abreast of the latest developments in AI, Quantum Computing, and Edge Technologies.
  • Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related technical field.
  • Minimum of 8+ years of experience in software architecture, with at least 3 years specifically in AI/ML.
  • Hands-on experience with quantum computing frameworks (e.g., Qiskit, Cirq) and cloud platforms (AWS, GCP, Azure).
  • Strong proficiency in Python, C++, and modern deep learning libraries.
  • Proven track record of leading technical teams and managing complex project lifecycles.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, experimental environment.

Required Skills

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

Ready to Take This Challenge?

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