Exowatt is revolutionizing the energy landscape for the AI era with our groundbreaking P3 system that captures solar energy, stores it as heat, and generates electricity on demand. We are seeking an innovative Lead Software Engineer to pioneer the application of Large Language Models (LLMs) and AI to solve complex physics and engineering challenges in our renewable energy systems.
Requirements
- 7+ years of software engineering experience with at least 3 years focused on AI/ML applications
- Track record of building production AI systems that solve real-world problems
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX)
- Strong proficiency with LLM frameworks and tools (Hugging Face, LangChain, OpenAI API, Anthropic Claude)
- Solid understanding of physics fundamentals, particularly thermodynamics and heat transfer
- Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Experience with MLOps practices and model deployment pipelines
Responsibilities
- Develop AI/LLM-based models for complex thermodynamics, heat transfer, and fluid dynamics.
- Implement AI to interpret, validate, and optimize physics simulations.
- Ensure AI solutions adhere to thermodynamics principles.
- Stay updated on advances in AI/physics-informed computing.
- Integrate AI frameworks with engineering simulation platforms (e.g., ANSYS).
- Build scalable, cloud-based software architectures and real-time data pipelines.
- Lead AI-driven digital twin and predictive analytics for system optimization and maintenance.
Other
- Bachelor's degree in Computer Science, Physics, Engineering, or related field; Master's or PhD preferred
- Relocation to Miami, FL is required.
- Collaborate externally and represent Exowatt in scientific forums.
