AI Engineer

About the Company

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. We co-design the full stack: AI-native EDA systems and advanced ASICs. Backed by $85M+ from leading deep-tech investors, we are built by scientists and engineers from the labs that built modern computing.

Responsibilities

• Lead AI development from initial concept through production deployment and iteration
• Design and implement LLM-powered solutions to extract meaning from complex technical specifications
• Explore multi-agent and RL approaches for agentic code generation and tool use
• Design strategies to manage latency, output variance, and graceful error handling at scale
• Collaborate with product and engineering teams to embed AI capabilities into the platform
• Guide junior engineers and establish best practices for AI development

Requirements

• Experience delivering production AI systems involving language models
• Experience with document understanding or agentic workflows
• Solid software engineering skills in distributed systems and production-grade code
• Proficiency in Python and modern ML frameworks like PyTorch and Hugging Face
• Hands-on experience with prompt engineering, fine-tuning, and deploying LLMs
• Ability to wrangle, clean, and preprocess large-scale, heterogeneous datasets
• Ability to explain complex AI concepts to technical and non-technical stakeholders

Preferred Qualifications

• Experience deploying AI systems in mission-critical or high-stakes environments
• Experience with cloud platforms (AWS, GCP, Azure) for large-scale AI infrastructure
• Research or applied experience with LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, or program synthesis
• Open-source contributions or publications in AI/ML venues