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Information Technology 🏢 Full Time ⭐️ Verified

Advanced AI Systems Architect

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an Advanced AI Systems Architect to design next-generation neural networks and quantum-integrated AI frameworks. This role offers the opportunity to shape humanity's digital future while working in our state-of-the-art San Francisco lab. You'll collaborate with Nobel laureates and industry disruptors to build AI systems that will define the next decade of innovation.

Responsibilities

  • Design scalable neural architectures for 2026-era autonomous systems
  • Develop quantum-AI hybrid computing frameworks
  • Lead cross-functional teams in implementing cutting-edge AI solutions
  • Create ethical AI governance frameworks for future deployment
  • Research and integrate emergent technologies (neuromorphic chips, synthetic biology interfaces)
  • Develop predictive models for AI societal impact analysis
  • Architect secure-by-design AI systems with zero-trust architectures
  • Present strategic AI roadmaps to C-suite and board stakeholders

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 10+ years experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, federated learning, and generative AI
  • Proven track record of deploying production-scale AI systems (>100M users)
  • Deep knowledge of quantum computing principles and QML frameworks
  • Certification in AI ethics (IEEE, ACM) and security (CISSP)
  • Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
  • Strong background in AI safety and alignment research

Required Skills

AI Architecture Quantum Computing Neural Networks Machine Learning Quantum Machine Learning AI Ethics Neuromorphic Computing AI Safety Systems Design Research Leadership

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