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Lead AI & Quantum Systems Architect (2026)

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Welcome to the Future of Innovation.

At OmniFuture Systems, we are not just predicting the trends of 2026; we are architecting them. We are seeking a visionary Lead AI & Quantum Systems Architect to spearhead our next-generation infrastructure. If you are passionate about pushing the boundaries of Artificial Intelligence and Quantum Computing, this is your opportunity to define the technological landscape of the coming decade.

Why Join Us?

We offer a competitive compensation package, equity options, and the chance to work on projects that will define the future of humanity. Our team thrives on solving complex problems with cutting-edge technology.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable, secure AI architectures capable of handling quantum computing environments and massive data streams.
  • Lead Quantum Integration: Oversee the integration of quantum algorithms into existing machine learning pipelines to enhance processing speed and problem-solving capabilities.
  • Technical Vision: Define the technical roadmap for AI development, ensuring alignment with long-term business objectives and emerging 2026 technologies.
  • Team Leadership: Mentor and guide a high-performing team of data scientists, engineers, and quantum researchers.
  • Research & Development: Stay ahead of the curve by researching and prototyping next-gen AI models, including Generative AI and Neural Interfaces.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into user-centric solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field (or equivalent practical experience).
  • Experience: 8+ years of experience in software engineering, machine learning, and system architecture.
  • Technical Expertise: Deep understanding of AI/ML frameworks (TensorFlow, PyTorch), cloud infrastructure (AWS, GCP), and Quantum Computing libraries (Qiskit, Cirq).
  • Leadership: Proven track record of leading technical teams and delivering complex projects on time.
  • Problem Solving: Exceptional analytical and problem-solving skills with a focus on innovation and efficiency.
  • Communication: Excellent verbal and written communication skills, capable of explaining complex concepts to diverse audiences.

Required Skills

Python TensorFlow Quantum Computing Machine Learning System Architecture Cloud Computing (AWS/GCP) Leadership Deep Learning Research

Ready to Take This Challenge?

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

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