Product Engineer, Normal Computing
$150-250k
+ Equity
Generative AI for enterprise
Job no longer available
Generative AI for enterprise
21-100 employees
Job no longer available
$150-250k
+ 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
- 4-7 years of prior experience building and shipping full stack products, including experience as a former zero-to-one engineering lead or startup founder
- Expert ability to write clean, effective and scalable code, with a strong proficiency in TypeScript and React and a deep understanding of how web technologies work
- Experience building backend services in Python or other object-oriented languages. Ability and desire to contribute across our stack
- Reliable, resourceful, and flexible - you do what you say you will, find solutions, and pivot with aplomb
- Reliable, resourceful, and flexible - you deliver on your commitments, value outcomes, and adapt quickly when priorities shift
- Passion for user experience, including an ability and desire to understand how technical decisions impact the real people who will use what you're building
Desirable
- Meaningful experience working and building within or for the semiconductor industry, or developing hardware products or software for hardware products
- Experience working with LLMs or collaborating with ML teams
- Familiarity with the latest AI-powered programming tools
- Experience with visual design
What the job involves
- We are hiring a Product Engineer (Software Engineer, Full Stack) to design and build high-performance products for semiconductor companies
- This role provides an opportunity to get firsthand experience prototyping and launching transformative AI experiences in one of the world’s most important industries. Previous experience with the semiconductor or hardware industry is valued, but not required
- Design and build performant web applications that make complex workflows intuitive for users, including features such as visualization tools, diagnostic assistants, and test version control
- Partner with product team and users to translate complex technical requirements into real proof-of-concept features
- Drive engineering roadmaps in collaboration with researchers, hardware experts, and product managers to discover and propose features
- Build and contribute to a collaborative, growth-oriented environment that promotes technical excellence, transparency, and continuous learning
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
Company
Funding (last 2 of 3 rounds)
Nov 2024
$66.8m
GRANT
Jun 2023
$8.5m
SEED
Total funding: $83.8m
Company HQ
Civic Center, New York, NY
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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