Job description
Normal Computing. Incredible Opportunities.
At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the real world. At the center of our mission is bridging artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe. We are tackling these problems with a mix of interdisciplinary approaches across the full stack, from probabilistic software infrastructure and algorithms to hardware and physics.
At Normal, we understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world of atoms.
Join us as we incite a second industrial revolution through AI purpose-built for (and in) the physical world, as part of our incredible team that’s anything but normal.
Your Role in Our Mission:
We are looking for a Staff AI Engineer that can help us take systems that understand large technical documents and turn them into code. This is a demanding job, requiring both strong AI expertise, software engineering skills and the ability to dive deep into chip specifications. Knowledge of semis is a plus.
At Normal Computing, you will play a pivotal role in leading and managing projects, mentoring team members, and influencing the strategic direction of our AI initiatives. Your expertise will drive cutting-edge machine learning applications across various aspects of our business, driving solutions from the early stages of research and development all the way to production deployment for our customers.
Responsibilities:
- Lead AI projects from concept to production deployment
- Design and build systems using large language models to process complex technical documents
- Develop solutions for multi-modal data handling (PDFs, logs, tables)
- Solve challenging AI and software engineering problems
- Work with other teams to integrate AI into our products
- Guide junior engineers and promote best practices
- Create robust AI evaluation frameworks
- Develop strategies to manage AI-specific challenges (latency, variance, errors)
- Keep up with AI advancements, especially in language models and multi-modal AI
What Makes You A Great Fit:
- Proven track record leading engineering projects, ideally in ML or AI
- Strong software engineering skills, especially with distributed systems
- Proficiency in Python and ML frameworks (PyTorch, Hugging Face)
- Experience with prompt engineering and deploying language models
- Ability to handle and preprocess large, diverse datasets
- Understanding of AI safety and responsible development
- Expertise in AI evaluation and benchmarking
- Clear communication of complex AI concepts
Bonus Points For:
- Experience deploying AI in high-stakes environments
- Cloud platform knowledge for large-scale AI deployment
- Expertise in advanced AI techniques (few-shot learning, meta-learning)
- Open-source AI contributions or relevant publications
- Leadership in strategic AI initiatives
- Ability to balance AI innovation with production-ready systems
- Adaptability in a fast-paced, evolving AI landscape
