Senior Software Engineer

New York, New York, United States

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$150,000 – $300,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Hardware, Enterprise SoftwareIndustries

Requirements

Candidates should possess a Bachelor's degree or higher in Computer Science, Engineering, or a related field. A minimum of 4 years of prior engineering technical leadership experience is required, along with strong software engineering skills. Experience in enterprise software and/or industrial sectors such as advanced manufacturing or semiconductors is also necessary.

Responsibilities

The Senior Software Engineer will drive projects from concept to production deployment, focusing on product UX, AI libraries, systems, or full-stack AI infrastructure. They will interface directly with Fortune 500 customers and users, spearhead 0-1 projects, contribute to engineering roadmaps, and improve tooling and infrastructure projects. The role also involves operating in a metrics-led culture, traveling to partner summits, and fostering a collaborative and growth-oriented environment.

Skills

Software Engineering

Product UX

AI Libraries

Backend Systems

AI Infrastructure

Chip Design

Auto-formalizing AI

Model Training

Experimentation

Enterprise Product Deployment

Normal Computing

Develops generative AI for enterprises

About Normal Computing

Normal Computing develops generative AI specifically for critical enterprise applications, focusing on large-scale enterprises like Fortune 500 companies in sectors such as semiconductor manufacturing, supply chain management, banking, and government. Their technology, based on Probabilistic AI, utilizes statistical analysis to predict outcomes, allowing businesses to have greater control over the reliability, adaptivity, and auditability of their AI models. This approach addresses the significant risks that have hindered AI adoption in these industries. Unlike many competitors, Normal Computing tailors its AI solutions to meet the specific needs of its clients, operating on a subscription or contract basis. The goal of Normal Computing is to mitigate risks associated with AI implementation, making it a more viable option for critical applications in high-stakes environments.

New York City, New YorkHeadquarters

2022Year Founded

$80.7MTotal Funding

GRANTCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Flexible Work Hours

Risks

Competition from IBM and Intel in thermodynamic computing could challenge market position.

Global semiconductor shortages may impact hardware scaling capabilities.

AI regulatory changes in the EU and US could increase compliance costs.

Differentiation

Normal Computing uses Probabilistic AI for reliable, adaptive enterprise applications.

Their thermodynamic computer enhances AI reliability and efficiency, a first in the industry.

Founded by ex-Google Brain and X engineers, they have a strong AI development pedigree.

Upsides

Selected for ARIA's £50M Scaling Compute Program, boosting funding and visibility.

Raised $8.5M in seed funding to advance Probabilistic AI technology.

Growing demand for AI solutions in risk-averse industries like banking and government.

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