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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Systems Architect

Zai Industries
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Shape the Future of Computing

At Zai Industries, we are not just predicting the future; we are engineering it. As a Lead AI & Quantum Systems Architect, you will spearhead the development of next-generation neural architectures and hybrid quantum-classical systems designed for the 2026 era. Join our elite team in San Francisco and define the standard for artificial intelligence at scale.

Why Join Us?

β€’ Work on groundbreaking projects that redefine machine learning capabilities.

β€’ Competitive compensation and equity package.

β€’ Flexible remote-first culture with a premium office in downtown SF.

β€’ Access to the latest hardware for AI and quantum simulation.

Responsibilities

  • Design and architect scalable, high-performance AI models integrating quantum computing paradigms.
  • Lead a team of senior data scientists and engineers to deliver production-ready solutions.
  • Define technical roadmaps for next-gen machine learning infrastructure.
  • Optimize algorithms for edge computing environments and massive data throughput.
  • Collaborate with product stakeholders to translate complex technical requirements into innovative solutions.
  • Mentor junior developers and conduct code reviews to ensure engineering excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, or a related field.
  • 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and C++.
  • Experience with quantum computing frameworks (Qiskit, Cirq) or hybrid cloud systems (AWS, GCP).
  • Strong understanding of distributed systems, cloud-native architectures, and MLOps.
  • Proven track record of leading cross-functional technical teams.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Python TensorFlow C++ Distributed Systems MLOps Cloud Architecture Deep Learning

Ready to Take This Challenge?

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