Job Description
Are you ready to build the infrastructure that will define the future? Nebula Dynamics is seeking a visionary Lead AI Architect to spearhead our research and deployment of next-generation Generative AI systems. As we gear up for the 2026 technology landscape, we need a technical leader who isn't just adapting to change, but actively architecting it.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will lead a team of elite engineers in building autonomous agents, multimodal large language models, and scalable neural networks that will power our ecosystem for years to come. If you are passionate about pushing the boundaries of what's possible in AI and want to leave a lasting legacy in the industry, we want to meet you.
Why Join Nebula Dynamics?
- Work on cutting-edge 2026-ready technology stacks.
- Competitive compensation package with equity opportunities.
- Flexible remote-first culture with a vibrant SF hub.
- Access to top-tier compute resources and research tools.
Responsibilities
- Architect 2026-Ready AI Systems: Design and implement scalable, high-performance architectures for Generative AI and Autonomous Agents.
- Model Optimization: Lead efforts in fine-tuning and optimizing Large Language Models (LLMs) for speed, accuracy, and reduced hallucination.
- Infrastructure Leadership: Oversee the deployment of models on cloud-native platforms, ensuring high availability and fault tolerance.
- R&D Strategy: Collaborate with research scientists to translate theoretical breakthroughs into production-ready code.
- Code Review & Mentorship: Mentor junior engineers and conduct rigorous code reviews to maintain the highest engineering standards.
- Performance Tuning: Analyze and optimize inference latency and resource consumption across distributed systems.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in Machine Learning Engineering, with at least 2 years in a Lead or Architect role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- AI Expertise: Strong understanding of transformer architectures, diffusion models, and reinforcement learning.
- System Design: Experience designing microservices and scalable data pipelines (Kubernetes, Docker, AWS/GCP).
- Future-Forward Thinking: Demonstrated ability to adapt to and implement emerging technologies relevant to the 2026 AI landscape.