Job Description
Architect the Future of Intelligence. Nebula Dynamics is at the forefront of the 2026 Vision Initiative, a radical research program dedicated to achieving Artificial General Intelligence (AGI). We are looking for a visionary Senior AI Architect to lead the infrastructure development for our next-generation models.
In this high-impact role, you will not merely build systems; you will define the architectural paradigms that will power the digital landscape of 2026 and beyond. You will be responsible for designing scalable, efficient, and ethical machine learning pipelines that can handle petabyte-scale data in real-time.
Join a team of world-class researchers and engineers who are committed to pushing the boundaries of what is possible in technology.
Responsibilities
- Design Next-Gen Architectures: Lead the architectural design and implementation of large-scale machine learning models, focusing on scalability, latency, and fault tolerance.
- Optimize Model Performance: Apply cutting-edge optimization techniques (quantization, pruning, distillation) to maximize inference speed and reduce operational costs.
- Ethical AI Governance: Establish rigorous frameworks for AI safety, fairness, and transparency to ensure responsible deployment of autonomous systems.
- Technical Mentorship: Guide a team of talented engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Research Integration: Translate complex research papers and academic breakthroughs into production-ready code and scalable infrastructure.
- System Scalability: Oversee the transition from monolithic systems to microservices architectures, ensuring seamless integration with cloud-native environments.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 4 years dedicated to machine learning infrastructure and deep learning.
- Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and C++; extensive experience with distributed systems (Kubernetes, Docker) and cloud platforms (AWS, GCP).
- Education: Master’s degree or Ph.D. in Computer Science, Statistics, or a related field from a top-tier institution.
- Innovation: A track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or shipping industry-changing products.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with elegant, scalable technical solutions.
- Communication: Exceptional ability to communicate complex technical concepts to diverse stakeholders.