Senior Software Engineer, Normal Computing
$150-215k
+ Equity
Generative AI for enterprise
Open for applications
Generative AI for enterprise
21-100 employees
Open for applications
$150-215k
+ Equity
21-100 employees
Company mission
To bridge artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe.
Role
Who you are
- Startup experience, growing with an engineering org from around 2 engineers to 25+
- 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!
- A bias toward fast iteration and experimentation over perfectionism
- Experience with Python and PostgreSQL
- Excellent verbal and written communication skills. (We are a global company which believes in strong in-person culture at its hubs.)
What the job involves
- 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
- 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
- Collaborating with team members and other stakeholders on various aspects of the project: brainstorming, technical design, and review
- Helping our MLE team shape their vision so that it can be realized for our clients
Application process
- Wondering how to make your resume stand out? Some things we’d love to know:
- What is your “nerd snipe Achilles heel?” Distributed systems? Type systems? PLT? LLMs?
- We know you could get a job at a FAANG shop, but you’re seeking out a startup instead. Why?
- 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!
Our take
As the rate of AI adoption accelerates, Normal Computing sets out to make it more usable and scalable for enterprises, where risk is a central barrier to its implementation. The hope is that this will allow enterprises to make use of technologies such as Generative AI which has so far only been considered appropriate for early consumer applications.
The company's Probabilistic AI gives control over reliability, adaptivity, and auditability to AI models powered by its customers' private data. It boasts the ability to support such applications as automating complex underwriting processes, generating and validating specialized code, and mitigating risks in situations where the conditions are dynamic and fluctuating.
By targeting a major roadblock to enterprise AI adoption, Normal Computing has the chance to make a major (and profitable) contribution to accelerating complex AI use cases. The company has raised considerable funding to support its endeavours, which it will use to double down on the R&D of its application development platform and Probabilistic AI technology.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Nov 2024
$63.2m
GRANT
Jun 2023
$8.5m
SEED
Total funding: $80.2m
Company HQ
Civic Center, New York, NY
Articles
Leadership
Faris Sbahi
(Co-Founder & CEO)Has worked as a Research Scientist at X, the moonshot factory, a Software Engineer at Google, and as a Forward Deployed Engineer at Palantir Technologies.
Matthias Tan
(Co-founder)Venture Partner at NextGen Venture Partners. Former Principal of Strategy and Partnerships at X, the moonshot factory, and Director of Product and Partnerships at Pony.ai.
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