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Lead Neural Architect | Project 2026

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

Job Description

The Future is Here. Chronos Dynamics is pioneering the next generation of human-machine symbiosis. We are seeking a visionary Lead Neural Architect to spearhead Project 2026, our flagship initiative to redefine the boundaries of artificial cognition.

In this role, you won't just write code; you will architect the neural pathways that will power the digital reality of the next decade. If you are obsessed with scalability, efficiency, and the ethical implications of advanced AI, we want to meet you.

Join us in building the infrastructure of tomorrow.

Responsibilities

  • Design Next-Gen Architectures: Develop and optimize cutting-edge neural network models capable of handling complex, high-velocity data streams.
  • Quantum Integration: Bridge the gap between classical computing and emerging quantum algorithms to enhance processing power.
  • Team Leadership: Mentor a diverse team of researchers and engineers, fostering a culture of innovation and technical excellence.
  • System Optimization: Reduce latency and energy consumption in real-time inference systems to ensure seamless user experiences.
  • Roadmap Strategy: Define the technical vision and long-term strategy for Project 2026 deliverables.
  • Ethical Compliance: Implement rigorous safety protocols to ensure AI alignment with human values.

Qualifications

  • Education: Master’s or PhD in Computer Science, Computational Neuroscience, or a related technical field.
  • Experience: 5+ years of professional experience in Deep Learning, specifically with Large Language Models (LLMs) and Transformer architectures.
  • Technical Skills: Proficiency in Python, C++, and CUDA; experience with PyTorch or TensorFlow.
  • Domain Knowledge: Demonstrated expertise in neuromorphic computing or brain-computer interface (BCI) technologies.
  • Leadership: Proven track record of leading high-performing engineering teams in fast-paced startup or research environments.
  • Communication: Exceptional ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Neural Networks Deep Learning Python C++ CUDA PyTorch TensorFlow BCI Neuromorphic Computing Machine Learning Architecture

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