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Runpod

Rents cloud GPUs for building AI applications

Developer Relations Engineer

Developer Relations & AdvocacyUpdated on Nov 7
Full-timeRemote in USA$141.9k - $189.2k

About the Job

Requirements

  • Experience writing code in Python, JavaScript, or Go.
  • Experience as a software engineer.
  • Ability to build and demonstrate real things on the platform and hold a deep technical conversation without a script.
  • Experience creating technical content such as demos, documentation, tutorials, or sample applications for a developer audience.
  • A track record of building integrations or contributing to open-source projects within an ecosystem such as machine-learning or artificial-intelligence frameworks, software development kits, or tooling.
  • Ability to work with high autonomy, identify gaps or friction points, and ship fixes without waiting for direction.
  • Familiarity with GPU compute, machine-learning infrastructure, or artificial-intelligence engineering workflows.
  • Ability to regularly attend events and conferences in person.
  • Ability to speak publicly on behalf of a developer-facing product.
  • Successful completion of a background check.

Responsibilities

  • Build tooling, extensions, and plugins that improve the developer experience on Runpod, and instrument them so their impact is measurable.
  • Deliver talks at developer and AI developer conferences, and build relationships with organizers and attendees.
  • Build on the platform as users do, and surface encountered pain points and bugs.
  • Design and run programs that scale content, events, and community into repeatable, durable systems.
  • Show up consistently where developers are, build relationships, and surface insights to Product and other relevant teams to inform product direction.

Desired Qualifications

  • A strong written voice, with recaps and posts that make people who were not present feel they missed something.
  • Ability to create videos with a high level of technical depth.
  • Familiarity with AI libraries and frameworks, agent frameworks, or ML infrastructure and GPU workloads.

About the Company

Runpod

Rents cloud GPUs for building AI applications

Runpod rents cloud computing power to developers and businesses building AI applications, with GPUs for model training, fine-tuning, and running models for users. Its Pods give teams a dedicated environment to run their own containers, while Serverless turns code into endpoints that adjust capacity to incoming requests. Clusters link multiple GPUs for larger training jobs, and the platform includes tools to deploy and monitor workloads through a web console or software interfaces. Customers pay for metered compute time and storage, with options for reserved resources and enterprise support. Runpod was founded in 2022 and is headquartered in San Francisco, California.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$122.3M
Headquarters
San Francisco, CA
Founded
2022

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