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Lead Architect: Next-Gen AI & Quantum Computing (Vision 2026)

Chronos AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

The Future of Intelligence Starts Here.

Chronos AI Systems is pioneering the infrastructure for the year 2026 and beyond. We are looking for a visionary Lead Architect to define the blueprint of our next-generation quantum-ready AI ecosystems. If you thrive on solving complex, unsolved problems and want to shape the trajectory of human-machine interaction, we want you on our team.

Join us in building the silicon and software foundation for the next decade of technological breakthroughs.

Responsibilities

  • Architectural Vision: Design and define the core architecture for our 2026 roadmap, integrating quantum computing paradigms with classical AI.
  • System Design: Lead the end-to-end design of scalable, high-performance distributed systems capable of processing petabytes of neural data.
  • Technical Leadership: Mentor senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Prototyping: Spearhead proof-of-concept initiatives to validate novel algorithms and hardware-software integration strategies.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and researchers to translate business goals into technical reality.
  • Roadmap Strategy: Own the technical delivery timeline for critical 2026 release milestones, ensuring feasibility and scalability.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Physics, Applied Mathematics, or a related engineering field.
  • Experience: 10+ years of professional software engineering experience, with at least 5 years in a lead architecture or principal engineering role.
  • Technical Stack: Deep expertise in Python, C++, Rust, and modern cloud-native technologies (Kubernetes, Docker).
  • Quantum/AI: Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) and experience with large language models (LLMs) and generative AI.
  • Problem Solving: Demonstrated ability to solve ambiguous, high-stakes technical challenges and drive solutions from concept to deployment.
  • Leadership: Proven track record of leading diverse, high-performing engineering teams through complex product lifecycles.

Required Skills

Quantum Computing AI Architecture System Design Kubernetes Python Rust Cloud Native Machine Learning Leadership Scalability

Ready to Take This Challenge?

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