Normal Computing. Incredible Opportunities.
At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the real world. We are tackling problems across semiconductors and industrials with a mix of interdisciplinary approaches across the full stack: from probabilistic software infrastructure and algorithms to hardware and physics, enabling AI that can reason and understand its own limits.
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.
Normal was founded in 2022 by engineers and scientists that pioneered industry-leading Physics + ML tools for next-gen AI at Google Brain and Google X.
Your Role in Our Mission:
At Normal, we are working to get our state-of-the-art ML research into the hands of our first enterprise customers. We are looking for a senior software engineer to join four other people on our product engineering team. We call this a full-stack role because you will need to understand how your decisions impact our product from end-to-end, though your day-to-day work will be backend heavy. Among other things, it will involve:
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Designing, building, and operating the backend components required for an enterprise SaaS product: everything from CI / CD, authn / authz, alerting, and monitoring to database integration, internal library development, etc.
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Collaborating with team members and other stakeholders on various aspects of the project: brainstorming, technical design, and review.
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Helping our MLE team shape their vision so that it can be realized for our clients.
What Makes You A Great Fit:
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Startup experience, growing with an engineering org from around 2 engineers to 25+.
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An affinity for building and operating the foundational components of a product tech stack. We are going from zero to one: much is being written from scratch!
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A bias toward fast iteration and experimentation over perfectionism.
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Experience with Python and PostgreSQL.
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Excellent verbal and written communication skills. (We are a global company which believes in strong in-person culture at its hubs.)
Bonus Points For
Wondering how to make your resume stand out? Some things we’d love to know:
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What is your “nerd snipe Achilles heel?” Distributed systems? Type systems? PLT? LLMs?
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We know you could get a job at a FAANG shop, but you’re seeking out a startup instead. Why?
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Do you have experience working alongside researchers? If so, what was that like?
Every engineer approaches their craft through their own lens. Show us the world through yours!
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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