Job Description
We are on a mission to define the technological landscape of 2026 and beyond. At Nebula Dynamics, we are not just building software; we are architecting the future of intelligent systems. We are seeking a visionary Lead AI Architect to spearhead our next-generation generative AI and autonomous agent infrastructure.
In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production environments. You will lead a high-performance engineering team, design robust neural architectures, and ensure our solutions remain at the cutting edge of the industry.
Why join us?
- Work on transformative projects with a direct impact on global scalability.
- Competitive compensation package with equity opportunities.
- Access to state-of-the-art hardware and research tools.
- Flexible remote-first culture with premium office amenities.
If you are ready to build the systems of tomorrow, today, we want to hear from you.
Responsibilities
- Architect and deploy advanced AI models, specifically targeting 2026 scalability benchmarks.
- Lead a cross-functional team of ML engineers, data scientists, and backend developers.
- Design and optimize distributed neural networks for low-latency inference.
- Define technical roadmaps for the company’s future AI product suite.
- Collaborate with quantum computing researchers to integrate hybrid algorithms.
- Ensure data privacy, security, and compliance in all AI implementations.
- Mentor junior staff and foster a culture of continuous learning and innovation.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 7+ years of experience in designing and implementing large-scale machine learning systems.
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face ecosystems.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and Kubernetes.
- Proven track record of leading engineering teams through complex technical challenges.
- Experience with Large Language Models (LLMs) and generative AI technologies.