Backend Software Engineer, Normal Computing

$150-250k

+ Equity

Python

Mid and Senior level

New York

San Francisco Bay Area

More information about location

Generative AI for enterprise

Be an early applicant

Generative AI for enterprise

21-100 employees

B2BArtificial IntelligenceEnterpriseMachine Learning

Be an early applicant

$150-250k

+ Equity

Python

Mid and Senior level

New York

San Francisco Bay Area

More information about location

21-100 employees

B2BArtificial IntelligenceEnterpriseMachine Learning

Company mission

To bridge artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe.

Job

Company

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
Experience building backend services in Python or other object-oriented languages. Ability and desire to contribute across our stack
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
Previous experience with the semiconductor or hardware industry is valued, but not required

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 Sr Software Engineer 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
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

$67.3m

GRANT

Jun 2023

$8.5m

SEED

Total funding: $84.3m

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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