Job Description
We are seeking a visionary Lead AI Architect to spearhead the development of our proprietary 'Project 2026' neural engine. This role is not just about coding; it is about defining the intelligence layer of the next generation of digital infrastructure. We are building the foundational systems that will power the autonomous economy of the year 2026.
At Nebula Systems, we don't just predict the future; we engineer it. You will work at the intersection of quantum-ready computing and advanced generative AI, ensuring our platforms are scalable, secure, and revolutionary.
Responsibilities
- Spearhead the architectural design and implementation of the 'Project 2026' core AI framework, ensuring high availability and fault tolerance.
- Define the long-term R&D roadmap for AI infrastructure, focusing on generative models and predictive analytics.
- Collaborate with cross-functional teams of quantum physicists and software engineers to optimize algorithmic efficiency.
- Establish best practices for ethical AI, data governance, and security compliance within the 2026 ecosystem.
- Mentor senior engineering talent and foster a culture of innovation and technical excellence.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in designing large-scale distributed systems and AI architectures.
- Proven expertise in Python, C++, and deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of cloud-native architectures (AWS, Google Cloud, or Azure) and containerization technologies (Kubernetes).
- Demonstrated ability to lead high-performance engineering teams and deliver complex projects on time.