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Senior AI & Quantum Architect - Shaping 2026

Chronos Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

The Opportunity:

Chronos Future Systems is pioneering the infrastructure for the next generation of artificial intelligence. We are seeking a visionary Senior AI & Quantum Architect to lead our engineering efforts in preparing our platforms for the year 2026 and beyond. You will be at the forefront of integrating quantum computing concepts with classical machine learning to solve problems that were previously thought impossible.

Why Join Us?

Work with a team of elite engineers and researchers dedicated to building the future. We offer competitive equity, a remote-first culture with hubs in SF, and the chance to define the technological landscape of the next decade.

Your Mission:

Design, build, and deploy scalable AI systems that leverage quantum-inspired algorithms. You will bridge the gap between theoretical research and production-grade software, ensuring our solutions are robust, secure, and ready for the demands of 2026.

Responsibilities

  • Design and architect next-generation AI models utilizing hybrid quantum-classical algorithms.
  • Lead the migration of legacy ML pipelines to scalable, cloud-native architectures.
  • Optimize deep learning frameworks for high-performance computing environments.
  • Collaborate with data scientists to translate theoretical research into production-ready code.
  • Establish best practices for AI governance, security, and ethical usage.
  • mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Stay ahead of emerging trends in AI, quantum computing, and edge processing.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Proficiency in Python, TensorFlow, PyTorch, and quantum computing libraries (e.g., Qiskit, Cirq).
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with high-performance computing (HPC) environments and parallel processing.
  • Demonstrated ability to lead cross-functional teams and drive technical vision.
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Python TensorFlow Cloud Architecture Distributed Systems Kubernetes Data Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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