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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of 2026's AI revolution! We're seeking a visionary AI Systems Architect to design next-generation neural networks that will redefine human-machine collaboration. In this pivotal role, you'll architect quantum-resistant AI frameworks and lead cross-dimensional computing initiatives that bridge physical and digital realities. Our culture thrives on audacious innovation—here, your ideas will shape the future.

Positioned in San Francisco's tech epicenter, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art neuro-interface labs. We offer equity, unlimited learning stipends, and the rare opportunity to work on projects that will impact billions. This isn't just a job—it's your legacy in the making.

Responsibilities

  • Architect federated learning systems across quantum-classical hybrid infrastructures
  • Design ethical AI governance frameworks for autonomous decision-making systems
  • Lead development of neuromorphic computing interfaces for bi-directional human-AI integration
  • Optimize AI models for edge-to-cloud deployment in 6G-enabled environments
  • Establish cross-reality simulation engines for AI training and validation
  • Mentor multidisciplinary teams in advanced AI safety protocols
  • Pioneer explainable AI methodologies for regulatory compliance

Qualifications

  • PhD in Computer Science/AI with 7+ years in large-scale system architecture
  • Expertise in quantum-resistant cryptography and post-quantum algorithms
  • Proven track record deploying production-grade neural-symbolic AI systems
  • Deep knowledge of federated learning frameworks (Flower, TensorFlow Federated)
  • Experience with neuromorphic hardware (Loihi, Intel Hala Point)
  • Certification in AI ethics (IEEE Ethically Aligned Design)
  • Published research in top-tier AI conferences (NeurIPS, ICML)

Required Skills

Quantum Computing Neural Networks Federated Learning Neuromorphic Engineering AI Ethics 6G Systems Cross-Reality Computing Explainable AI

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