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Full-Time

Staff AI Infrastructure Engineer

Updated on 9/10/2024

Normal Computing

Normal Computing

1-10 employees

Develops generative AI for enterprises

Hardware
Enterprise Software
AI & Machine Learning

Senior, Expert

New York, NY, USA

Category
DevOps & Infrastructure
Site Reliability Engineering
Cloud Engineering
DevOps Engineering
Required Skills
Chef
Kubernetes
Microsoft Azure
Python
Puppet
AWS
Go
Terraform
Ansible
Google Cloud Platform
Requirements
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field
  • 6+ years of experience in infrastructure engineering, with a focus on machine learning, distributed systems, and cloud computing
  • Experience writing highly performant services and strong knowledge of Golang and/or Python
  • Specific expertise with managing and evolving Kubernetes in production and any cloud platform like GCP, AWS, Azure
  • Expertise in monitoring & alerting, scalable testing, automation, CI/CD frameworks and best practices, infrastructure-as-code (Terraform, CloudFormation), and configuration management tools (Ansible, Puppet, Chef)
  • Leadership and collaboration qualities, enthusiasm for real-world, responsible impact
  • Excellent problem-solving and “getting things done” skills, and a proven ability to troubleshoot and optimize complex systems
  • Strong written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders across research and product
Responsibilities
  • Collaborating closely with software and research engineers to optimize and productionize training, experimentation, and enterprise product deployment infrastructure
  • Designing, implementing, and maintaining individual microservices that collectively form complex, scalable backend systems
  • Implementing tools, libraries and frameworks to speed up and enable new research and productization
  • Be a part of planning and performing rapid prototyping of machine learning techniques applied to real-world scientific and enterprise semiconductor design and engineering problems
  • Make improvements to model architectures, training, simulation, and compilation procedures
  • Practice sustainable incident response and blameless postmortems
  • Staying up-to-date with the latest advancements in AI, ML, and infrastructure technologies
  • Mentoring and guiding junior colleagues, nurturing a collaborative, growth-oriented environment that promotes knowledge sharing and professional development

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 enterprises.

Company Stage

Seed

Total Funding

$8.5M

Headquarters

New York City, New York

Founded

2022

Growth & Insights
Headcount

6 month growth

12%

1 year growth

12%

2 year growth

414%
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Simplify's Take

What believers are saying

  • Normal Computing's innovative technology could lead to widespread adoption among Fortune 500 companies, significantly boosting revenue and market presence.
  • Their focus on risk management in AI applications makes them highly attractive to industries that have been hesitant to adopt AI due to potential risks.
  • The strong background of the founding team enhances credibility and attracts top-tier talent, fostering a culture of innovation and excellence.

What critics are saying

  • The high level of customization required for each client could limit scalability and strain resources.
  • Operating in a rapidly evolving AI market means Normal Computing must continuously innovate to stay ahead of competitors.

What makes Normal Computing unique

  • Normal Computing leverages Probabilistic AI to offer unprecedented control over AI model reliability, adaptivity, and auditability, setting it apart from traditional AI solutions.
  • The company's founders come from elite backgrounds at Google Brain, Palantir, and X, providing a strong pedigree and deep expertise in AI.
  • Normal Computing focuses on high-risk industries like semiconductor manufacturing and banking, where their risk-mitigating AI solutions are particularly valuable.