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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to build the infrastructure of tomorrow?

Nexus Future Systems is pioneering the next generation of artificial intelligence and quantum computing integration. As we look toward the 2026 paradigm shift, we are seeking a visionary Lead AI & Quantum Architect to spearhead our advanced R&D division. You won't just be maintaining systems; you will be architecting the very fabric of next-generation intelligence.

Why Join Us?

  • Impact: Work on projects that redefine the boundaries of possibility.
  • Innovation: Access to cutting-edge quantum hardware and proprietary AI frameworks.
  • Growth: Competitive equity package and continuous learning budget.

If you are an engineer who dreams in binary and leads with a vision, we want to hear from you.

Responsibilities

  • Architectural Design: Design and implement scalable, high-performance AI and quantum computing infrastructure to support the 2026 roadmap.
  • System Integration: Bridge the gap between classical machine learning models and emerging quantum algorithms.
  • Team Leadership: Mentor a world-class engineering team, fostering a culture of innovation and technical excellence.
  • R&D Strategy: Lead research initiatives to explore new frontiers in neural networks and quantum entanglement applications.
  • Performance Optimization: Continuously optimize system latency, throughput, and cost-efficiency in cloud environments.
  • Collaboration: Partner with product managers and data scientists to translate complex concepts into deployable solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related field (PhD preferred).
  • Experience: 7+ years of experience in software engineering, with at least 3 years in AI/ML leadership roles.
  • Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and quantum computing libraries (Qiskit, Cirq).
  • Cloud Mastery: Proven track record of designing systems on AWS, GCP, or Azure.
  • Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to diverse stakeholders.
  • Vision: Demonstrated ability to anticipate industry trends and adapt strategies accordingly.

Required Skills

Python TensorFlow PyTorch Quantum Computing AWS GCP System Architecture Leadership Machine Learning Neural Networks

Ready to Take This Challenge?

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

Apply Now

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