Job Description
Are you ready to architect the future of intelligence?
OmniFuture Dynamics is seeking a visionary Senior AI Architect to spearhead our 2026 Initiative—a high-impact project dedicated to merging Generative AI with Neuromorphic computing.
In this role, you will define the technical roadmap for next-generation autonomous systems. We are not just building software; we are constructing the cognitive infrastructure for a smarter, more efficient world. If you thrive in ambiguity and want to push the boundaries of what is possible with Artificial General Intelligence (AGI), we want to hear from you.
Why join us?
- Work on cutting-edge research that will define the industry standard for 2026 and beyond.
- Competitive compensation package with equity opportunities.
- Flexible remote-first culture with access to state-of-the-art hardware labs.
Responsibilities
- Design Scalable Neural Architectures: Architect and deploy state-of-the-art neural networks capable of processing real-time sensory data with zero latency.
- Pioneer Generative Research: Lead research in Synthetic Data generation and diffusion models to accelerate training cycles for autonomous agents.
- Integration & Optimization: Integrate Large Language Models (LLMs) with robotic control systems to enable autonomous decision-making in unstructured environments.
- Explainable AI (XAI): Develop frameworks to ensure model transparency and interpretability, adhering to global ethical AI standards.
- Talent Mentorship: Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Computational Neuroscience, Robotics, or a related field.
- Technical Expertise: Deep proficiency in Deep Learning frameworks (PyTorch, TensorFlow, JAX) and GPU optimization (CUDA).
- Experience: 5+ years of industry experience in AI/ML, with a focus on LLMs or reinforcement learning.
- Edge Computing: Strong understanding of deploying models on Edge devices and experience with TinyML.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.