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Senior AI Systems Architect
3 weeks ago
Company Overview
At Normal Computing, we're revolutionizing AI foundations to push the boundaries of reasoning and reliability in the real world. Our mission is to bridge artificial intelligence with industrial and manufacturing applications globally. We tackle these challenges through interdisciplinary approaches across the full stack, from probabilistic software infrastructure and algorithms to hardware and physics.
Your Role in Our Mission:
We're seeking a Senior AI Systems Architect that can help us transform systems understanding large technical documents into code. This role demands strong AI expertise, software engineering skills, and the ability to dive deep into chip specifications. Knowledge of semiconductors is a plus.
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)
- Stay up-to-date 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