Job Description
Nebula Core Technologies is pioneering the next generation of autonomous intelligence. As we accelerate towards our 2026 product launch, we are seeking a visionary Lead AI Architect to define the technical foundation of our flagship platform. This is a high-impact role for a technical leader who thrives on complexity and wants to shape the future of enterprise AI.
In this position, you will bridge the gap between theoretical research and production-grade deployment. You will lead a team of engineers and data scientists to architect scalable, fault-tolerant systems capable of handling petabyte-scale data streams.
Why Join Us?
- Impact: Directly influence the technical roadmap for 2026 and beyond.
- Equity: Competitive equity package tied to long-term company success.
- Culture: Collaborative, innovation-first environment in the heart of Silicon Valley.
Responsibilities
- Strategic Planning: Define and own the technical architecture for the 2026 product vision, ensuring alignment with business objectives.
- System Design: Design and implement complex distributed systems using cloud-native technologies (AWS/Azure/GCP).
- Team Leadership: Mentor senior engineers and architects, fostering a culture of code excellence and innovation.
- Model Optimization: Oversee the deployment and optimization of Machine Learning models to ensure real-time performance.
- Security & Compliance: Implement rigorous security protocols and ensure adherence to industry standards and regulations.
- Roadmap Execution: Translate high-level strategy into actionable technical milestones for the engineering team.
Qualifications
- Experience: 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
- Technical Skills: Deep expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks.
- Leadership: Proven track record of leading high-performance engineering teams.
- Problem Solving: Demonstrated ability to solve complex, large-scale technical challenges.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.