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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

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

Job Description

Join Nexus Dynamics at the forefront of 2026's technological revolution as we pioneer next-generation AI systems. We seek an innovative AI Systems Architect to design, implement, and scale transformative solutions that will redefine industries. This role offers unparalleled opportunity to shape the future of artificial intelligence while working with cutting-edge quantum computing frameworks and neural networks.

Why Nexus Dynamics? We're a preeminent tech incubator with $2B+ in R&D funding, dedicated to accelerating breakthroughs in AGI, quantum AI, and biocomputing. Our San Francisco hub houses 200+ PhD researchers and industry pioneers in a state-of-the-art facility overlooking the Bay.

Responsibilities

  • Architect quantum-resistant AI systems for 2026-era computational demands
  • Design neural networks with emergent cognitive capabilities
  • Lead cross-functional teams in developing ethical AI frameworks
  • Implement secure distributed computing infrastructure
  • Drive research in neuromorphic computing and synthetic consciousness
  • Optimize systems for energy-efficient quantum-classical hybrid processing
  • Collaborate with futurists on 10-year technological roadmaps

Qualifications

  • PhD in Computer Science/AI with 8+ years experience
  • Expertise in quantum machine learning and topological data analysis
  • Proven track record in deploying trillion-parameter neural networks
  • Deep knowledge of AGI safety protocols and alignment strategies
  • Published research in Nature/Science on emergent AI behaviors
  • Proficiency in quantum programming languages (Q#, Qiskit)
  • Certification in advanced neuromorphic engineering
  • Experience with synthetic biology interfaces

Required Skills

AI Architecture Quantum Computing Neural Networks AGI Safety Quantum Machine Learning Neuromorphic Computing Distributed Systems Topological Data Analysis Synthetic Biology Interfaces

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