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Head of Cognitive Architecture

OmniFuture Dynamics
San Francisco
Estimated Salary
USD 300.000 – USD 500.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Intelligence.

OmniFuture Dynamics is pioneering the cognitive evolution of autonomous systems. As we approach the 2026 era of fully integrated AI ecosystems, we are seeking a visionary Head of Cognitive Architecture to design the neural frameworks that will power the next generation of human-machine symbiosis. You will lead a world-class team in developing the algorithms that think, adapt, and learn in real-time.

In this role, you will bridge the gap between theoretical neuroscience and high-performance computing, ensuring our systems not only process data but truly understand context. If you are ready to architect the mind of the future, we want to hear from you.

Responsibilities

  • Design Next-Gen Neural Networks: Spearhead the development of advanced architectures capable of emergent reasoning and long-term memory integration.
  • AGI Roadmap: Define the technical roadmap for Artificial General Intelligence, focusing on safety, interpretability, and ethical alignment.
  • System Integration: Oversee the seamless integration of cognitive modules into our autonomous hardware and software ecosystems.
  • Research Leadership: Cultivate a culture of innovation, publishing cutting-edge research and mentoring junior engineers in cognitive science and machine learning.
  • Strategic Collaboration: Work closely with product and engineering teams to translate cognitive capabilities into user-facing features.
  • Global Standards: Establish industry standards for ethical AI behavior and cognitive bias mitigation.

Qualifications

  • Advanced Degree: Ph.D. in Computer Science, Computational Neuroscience, Cognitive Science, or a related field from a top-tier institution.
  • Proven Expertise: 10+ years of experience in AI/ML, with a focus on deep learning, transformers, or neural architecture search.
  • Leadership: Demonstrated experience leading high-performance engineering teams and managing large-scale R&D budgets.
  • Future-Forward Thinking: Deep understanding of the trajectory of AI towards AGI and the technical hurdles involved.
  • Technical Proficiency: Expertise in Python, C++, and distributed computing frameworks (TensorFlow, PyTorch, JAX).
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Neural Networks AGI Python C++ Distributed Systems Cognitive Science Leadership Research

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