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Principal AI Architect (2026) - Quantum Neural Systems

OmniFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Are you ready to build the intelligence of tomorrow?

OmniFuture Labs is seeking a visionary Principal AI Architect (2026) to pioneer the integration of quantum mechanics and deep learning. This is not just a job; it is a mission to define the future of computation. We are looking for a pioneer who understands that the next leap in artificial intelligence requires a paradigm shift in hardware and software architecture.

In this role, you will lead the R&D division responsible for developing next-gen neuromorphic processors and hybrid quantum-classical algorithms. You will work directly with our elite engineering team to deploy scalable AI systems that can process exabytes of data in milliseconds.

Responsibilities

  • Design and architect hybrid quantum-classical neural networks capable of surpassing classical performance limits.
  • Oversee the deployment and optimization of neuromorphic hardware accelerators in cloud environments.
  • Lead a high-performance team of AI researchers and quantum engineers in cutting-edge R&D initiatives.
  • Define technical roadmaps for integrating quantum computing APIs into mainstream machine learning pipelines.
  • Collaborate with product leadership to translate futuristic research into deployable, market-ready AI solutions.
  • Establish best practices for AI ethics, bias mitigation, and quantum security protocols.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information or Artificial Intelligence.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML and Deep Learning.
  • Proven expertise in quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
  • Strong proficiency in Python, C++, and CUDA programming.
  • Experience with large-scale distributed systems and high-performance computing (HPC).
  • Demonstrated leadership in managing cross-functional teams and driving technical vision.

Required Skills

Python C++ Quantum Computing TensorFlow PyTorch Neural Networks Distributed Systems HPC AI Research System Architecture

Ready to Take This Challenge?

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