Your Role in Our Mission:
We are looking for an AI Engineer to help us take systems that understand large technical documents and turn them into code. This is a job of excitement and exploration, requiring AI expertise and software engineering skills to build complex systems. Knowledge of semiconductors is a plus.
At Normal Computing, you will contribute to cutting-edge machine learning applications across various aspects of our business, working on solutions from the early stages of research and development to production deployment for our customers.
Responsibilities:
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Contribute to AI projects from concept to production deployment
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Design and build systems using large language models to process complex technical documents
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Develop solutions for multi-modal data handling (PDFs, logs, tables)
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Solve challenging AI and software engineering problems
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Work with other teams to integrate AI into our products
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Create robust AI evaluation frameworks
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Develop strategies to manage AI-specific challenges (latency, variance, errors)
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Keep up with AI advancements, especially in language models and multi-modal AI
What Makes You A Great Fit:
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Experience with engineering projects, ideally related to ML or AI
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Strong software engineering skills, especially with distributed systems
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Proficiency in Python and ML frameworks (PyTorch, Hugging Face)
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Experience with prompt engineering and deploying language models
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Ability to handle and preprocess large, diverse datasets
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Understanding of AI safety and responsible development
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Knowledge of AI evaluation and benchmarking
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Clear communication of complex AI concepts
Bonus Points For:
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Experience deploying AI in production environments
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Cloud platform knowledge for AI deployment
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Familiarity with advanced AI techniques (few-shot learning, meta-learning)
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Open-source AI contributions or relevant publications
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Ability to balance AI innovation with production-ready systems
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Adaptability in a fast-paced, evolving AI landscape
Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at [email protected].
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.
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What We Do
Normal is rethinking semiconductors from the ground up.
The infrastructure powering AI models was never designed with today’s scale, complexity, or energy demands in mind. Today's general-purpose architectures underutilize the physical potential of the hardware itself.
By aligning hardware design with the intrinsic properties of physical systems, we can transform efficiency. We believe that exploring the limits of new and custom silicon, including those which optimize their own physics, requires the help of AI, better EDA software, and ultimately the realization of a virtuous cycle of self-improving AI hardware.
We deliver our software and hardware with the largest semiconductor design and manufacturing institutions, a responsibility which entails individual ownership and deep partnership. We are a diverse, lean team of the world's best engineers, scientists, and operators, with offices in New York City, San Francisco, London, and Copenhagen.
Why Work With Us
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.
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