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Information Technology 🏢 Full Time ⭐️ Verified

AI Futures Architect

Nexus 2026 Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus 2026 Labs at the forefront of technological evolution! We're pioneering AI-driven solutions that redefine human-machine collaboration by 2026. As our AI Futures Architect, you'll design next-generation neural interfaces and quantum-entangled computing frameworks. Work in our state-of-the-art Austin lab where innovation meets impact, and help shape the digital landscape of tomorrow.

Why Nexus 2026? We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. Your role will directly influence our 2026 roadmap for autonomous systems and predictive neural networks.

Responsibilities

  • Architect scalable neural networks with 2026-era quantum computing integration
  • Lead R&D for human-AI symbiotic interfaces using advanced brain-computer protocols
  • Design predictive algorithms for autonomous system evolution across industries
  • Collaborate with quantum hardware teams to optimize AI-quantum hybrid systems
  • Develop ethical frameworks for 2026-level AI autonomy and decision transparency
  • Pioneer neuromorphic computing solutions for real-time adaptive learning
  • Present breakthrough findings at global tech summits and academic conferences

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing (or equivalent experience)
  • 5+ years developing production-level neural networks with 10M+ parameter architectures
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
  • Published research in IEEE/ACM journals on AI ethics or quantum computing
  • Proficiency in neuromorphic hardware (Intel Loihi, IBM TrueNorth) simulation
  • Experience with federated learning for distributed AI ecosystems
  • Strong background in computational neuroscience and cognitive modeling
  • Portfolio demonstrating 2026-forward AI system designs

Required Skills

AI Architecture Quantum Computing Neural Networks Brain-Computer Interfaces Quantum Machine Learning Neuromorphic Computing Federated Learning Predictive Algorithms

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