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FlexAI

On-demand GPU clusters for AI workloads

Software Engineer New Grad

Software EngineeringUpdated on Nov 13
Full-timeSan Jose, CA, USA$100k - $150k /yrIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Computer Science, Software Engineering, or a related technical field.
  • At least one internship, ideally in a high-growth startup or infrastructure environment.
  • Strong coding ability in at least one language such as Python, Go, Java, or JavaScript.
  • Experience using AI coding tools such as Claude or Codex.
  • Solid fundamentals in data structures, algorithms, and writing efficient, scalable code.
  • Familiarity with web applications or API development.
  • Ability to learn quickly and operate with increasing independence.

Responsibilities

  • Design and build highly reliable, resilient infrastructure products and features.
  • Work closely with developers, product, and customer-facing teams to solve real problems.
  • Write high-quality, extensible, and maintainable code.
  • Design and build APIs to drive existing and new platform features.
  • Build solutions with a high level of reliability, scalability, and security.
  • Debug issues and improve system performance.
  • Rapidly iterate from idea to deployment.
  • Take ownership of features and drive them to completion.

Desired Qualifications

  • Contributions to open source, hackathons, or shipped side projects.

About the Company

FlexAI

On-demand GPU clusters for AI workloads

FlexAI provides a Workload as a Service (WaaS) platform that gives AI developers on-demand access to scalable GPU compute for the full AI lifecycle, including training, fine-tuning, and inference. The platform lets users spin up GPU clusters quickly and run workloads in parallel, with automated scaling to optimize resource use and costs. It also supports performing multiple fine-tuning runs across different datasets and models at the same time, enabling rapid experimentation while the platform handles infrastructure management. This differentiates FlexAI from competitors by offering serverless, pay-per-use AI-optimized compute that abstracts away hardware setup and maintenance, focusing users on building and deploying models. The company aims to accelerate AI initiatives for developers, data scientists, and organizations by delivering cost-efficient, scalable compute without the overhead of managing their own GPUs.

Company size
51-200
Company stage
Seed
Total funding
$30M
Headquarters
Paris, France
Founded
2023

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