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Wafer

Fastest open source LLMs for enterprise, at the lowest cost per token.

Developer Advocate

Developer Relations & AdvocacyPosted on Nov 6
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Build real products using large language model application programming interfaces and write production-quality sample code.
  • Provide examples of clear, fast writing, such as posts, videos, documentation, or talks that developers read.
  • Have an audience in artificial intelligence, infrastructure, or developer tools, or a track record of building one.
  • Bring technical understanding of inference, including latency, throughput, quantization, and provider performance.
  • Defend benchmarks with data and acknowledge when evidence shows a point is correct.
  • Work independently without a specification and ship continuously.

Responsibilities

  • Ship launch posts, benchmarks, code samples, and demos for each newly served model, often within hours of release.
  • Build examples, integrations, and tutorials demonstrating fast inference use cases, including coding agents, voice agents, and real-time applications.
  • Create trustworthy performance content, including benchmarks with clear methodology and deep dives into model optimization.
  • Own the documentation and developer experience by identifying onboarding issues and fixing them or ensuring they are fixed.
  • Represent Wafer in developer communities, including X, Hacker News, Discord, Reddit, meetups, and conferences.
  • Bring developer feedback to product and engineering teams.
  • Develop developer marketing through hands-on work; success is measured by developer trials and retention.

About the Company

Wafer

Fastest open source LLMs for enterprise, at the lowest cost per token.

At Wafer, we are building AI systems that automatically optimize inference workloads across silicon. The goal is fungible token capacity. Any accelerator optimized toward serving inference most efficiently. Wafer is well funded and serves trillions of tokens a month for mission critical workloads. We serve the highest performance inference to fast-growing AI startups.

Company size
11-50
Company stage
Series A
Total funding
$44.1M
Headquarters
San Francisco, CA
Founded
2025

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