---
title: 'Head of DevRel at Cerebras Systems'
canonical: 'https://feeny.ai/job/head-of-devrel-cerebras-systems-sunnyvale-2ahvwfsv5ame'
type: 'job'
last_seen: '2026-10-13'
---

# Head of DevRel at Cerebras Systems

- **Company:** [Cerebras Systems](https://feeny.ai/companies/cerebras-systems)
- **Location:** Sunnyvale, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-08
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.ashbyhq.com/cerebras/8a46bfe0-0d5f-4388-a8ea-7a02ff97b7e3

## Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. [OpenAI recently announced a multi-year partnership](https://openai.com/index/cerebras-partnership/) with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

## About the Role

We’re looking for a Head of Developer Relations to shape how developers discover, understand, and build with Cerebras. You’ll define the DevRel vision and roadmap, set the technical quality bar, and lead a team that earns developer trust through useful demos, clear teaching, and original ideas. This is a hands-on technical leadership role. You should be as comfortable building an application, debugging an API integration, or teaching a workshop as you are coaching a developer advocate or planning the next two quarters. Reporting to the Head of Developer Experience, you’ll work closely with Product, Engineering, New Media, and Communications to demonstrate what fast inference makes possible and turn developer interest into lasting adoption.

## What You’ll Own

- DevRel direction: Define the team’s vision, roadmap, and quality bar around clear developer audiences, use cases, and business goals. Make thoughtful choices about where to invest and what to decline.
- Technical building and education: Own demos, sample applications, notebooks, technical blogs, and workshops. Personally build, write, teach, present, and debug when needed, and help the team make complex ideas clear and useful.
- Developer programs and community: Develop events, community initiatives, and repeatable programs that help developers try Cerebras, build useful applications, and continue using the platform.
- Team leadership: Lead and develop DevRel contributors. Set clear expectations, give specific technical and editorial feedback, support growth, and hold the team accountable for quality and delivery.
- Technical launches and storytelling: Partner with Product and Engineering on technical accuracy and developer readiness, and with New Media and Communications on compelling stories and coordinated launches.
- Developer feedback: Turn questions, integration challenges, and community insights into actionable improvements to products, documentation, and the developer experience.
- Performance and experimentation: Measure developer activation, continued usage, and meaningful ecosystem engagement. Test new ideas, learn from results, and adjust priorities as evidence changes.

## Skills and Qualifications

- A strong portfolio of technical demos, applications, tutorials, workshops, or developer programs, with clear examples of your personal technical contributions.
- Experience leading a DevRel function or technical developer program with demonstrated results in developer adoption.
- Experience directly managing and developing technical contributors, including setting expectations, giving actionable feedback, and addressing performance gaps.
- A track record of delivering technical launches or developer programs with Product, Engineering, and creative partners.
- Experience turning developer insights into improvements to products, documentation, or the developer experience.
- Strong hands-on engineering skills. You can use APIs, build useful demos, debug integrations, and explain technical decisions and limitations.
- Excellent technical writing, teaching, and presentation skills, with the ability to improve the clarity and accuracy of other people’s work.
- A distinct, informed point of view on modern DevRel and the AI developer ecosystem, including which audiences and use cases deserve attention.
- Strong cross-functional collaboration and prioritization skills. You can build an achievable roadmap, explain tradeoffs, and adapt when constraints change.

## Preferred Experience

- Experience building AI applications or developer programs that make the practical value of inference speed clear to developers.

## Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras [here](https://www.cerebras.ai/join-us)! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click [here](https://www.cerebras.net/privacy/) to review our CCPA disclosure notice.

## About Cerebras Systems

## Company Overview
- **One-liner**: Cerebras builds wafer-scale AI chips (the largest semiconductors ever made) and supercomputers that deliver up to 15x faster inference than GPUs, offered both on-premises and via cloud APIs.
- **Entity Type**: Public (NASDAQ: CBRS) — filed for IPO and now listed on the Nasdaq.
- **Headquarters**: Sunnyvale, California, United States
- **Founded**: 2015
- **Founders**: Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, Jean-Philippe Fricker

## Core Business
- **Primary industries**: Semiconductor manufacturing, AI computing hardware and software, cloud AI services.
- **Target customers**: B2B – enterprises, government research labs, cloud service providers, and AI developers.
- **Mission**: “Building impossible technologies so you can too” – accelerating AI through wafer-scale computing.

## Products & Services
- **Wafer-Scale Engine (WSE-3)**: The world’s largest AI chip (215 mm²), 58x larger than a typical GPU, built for ultra‑fast AI training and inference. Manufactured by TSMC.
- **CS-3 Supercomputer**: A single system powered by the WSE-3, delivering record-breaking AI performance for on-premises deployment.
- **Cerebras AI Inference Cloud & Training Cloud**: Pay-as-you‑go APIs that provide drop‑in OpenAI‑compatible access to Cerebras’ hardware for serving, fine‑tuning, and pre‑training models.
- **Condor Galaxy Network**: A series of supercomputers (e.g., CG‑1 with 4 exaFLOPs) built in partnership with G42 for high‑performance AI.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (recently public; market cap data not available in provided sources).
- **Key Metric**: Annual revenue of $78.7 M (latest); total funding of $2.7 B across 15 rounds.
- **Notable Investors/Partners**: G42, OpenAI (signed in 2026), Amazon Web Services (signed in 2026), Meta (Llama API), Perplexity, Mistral, Hugging Face, OpenRouter.
- **Growth Signals**: 
  - 34.3% YoY headcount growth (701 employees).
  - Rapid data center expansion across North America and Europe.
  - Won the HPCwire Readers’ & Editors’ Choice 2025 for Best AI Product/Technology.
  - Named to Forbes America’s Best Startup Employers 2026 and Fast Company Most Innovative Companies 2026 (AI).

## Competitive Advantages
- **Wafer‑scale architecture**: Eliminates interconnect bottlenecks, reducing latency and delivering up to 15x faster inference than GPU clusters.
- **Largest AI chip ever built**: 58x larger than any GPU, enabling massive on‑chip memory (SRAM) and compute density.
- **Full‑stack offering**: Hardware + cloud APIs + on‑prem systems, giving customers deployment flexibility.
- **Strong customer relationships**: Key contracts with OpenAI, AWS, G42, and Mayo Clinic (2024 Gordon Bell Prize work).

## Strategic Focus
- **Scale inference capacity**: Building out data centers to become the world’s #1 provider of high‑speed AI inference.
- **Deepen cloud partnerships**: Expanding pay‑as‑you‑go cloud access and enterprise deployments.
- **Advance wafer‑scale technology**: Continuous R&D on WSE‑3 successors and software stack (compiler, ML workflows).
- **Broaden model support**: Already serving Llama, Gemma, Qwen, Mistral, and more; integrating with Hugging Face and OpenRouter.

## Why Work Here
- **Culture**: “Extraordinary people, breakthrough innovation, global impact” – the company highlights collaborative, low‑overhead teams with little bureaucracy.
- **Work environment**: Hybrid/office with locations in Sunnyvale, San Diego, Toronto, and Bangalore. Inclusive and flexible policy.
- **Perks**: Premium medical/dental/vision, life insurance, generous vacation, 401(k) and Group RRSP retirement plans, daily catered meals, healthy snacks, family‑friendly events (including CEO’s famous BBQ).
- **Engineering focus**: Tackling fundamental challenges in chip design, system software, compiler technology, and ML workflows. Positions range from hardware (Design Verification, Manufacturing) to software (SRE, Compiler, Cloud).
- **Philanthrophy**: Supports local communities and hosts students from around the world for Q&A.

## Sources
1. [cerebras.ai/company](https://www.cerebras.ai/company)
2. [cerebras.ai](https://www.cerebras.ai/)
3. [cerebras.ai/join-us](https://www.cerebras.ai/join-us)
4. [linkedin.com/company/cerebras-systems](https://www.linkedin.com/company/cerebras-systems)

## Other roles at Cerebras Systems

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- [Senior Manager, Production & Fleet Operations](https://feeny.ai/job/senior-manager-production-fleet-operations-cerebras-systems-sunnyvale-rftjnccf36my) — Sunnyvale, CA
- [Senior Manager, Production & Fleet Operations](https://feeny.ai/job/senior-manager-production-fleet-operations-cerebras-systems-sunnyvale-tnzs6bz9xfma) — Sunnyvale, CA
- [Full Stack Machine Learning Engineer](https://feeny.ai/job/full-stack-machine-learning-engineer-cerebras-systems-bengaluru-fm2j4tvccywm) — Bengaluru, India
- [DevX Technical Writer](https://feeny.ai/job/devx-technical-writer-cerebras-systems-sunnyvale-rvrgasgk4wnx) — Sunnyvale, CA
- [Hardware Technical Analyst](https://feeny.ai/job/hardware-technical-analyst-cerebras-systems-sunnyvale-0cd9ayk6xwx5) — Sunnyvale, CA
- [Cluster Datacenter Manager](https://feeny.ai/job/cluster-datacenter-manager-cerebras-systems-alabama-xx25gw65zsh2) — Alabama, United States
- [Senior ASIC RTL Design Engineer, AI Hardware](https://feeny.ai/job/senior-asic-rtl-design-engineer-ai-hardware-cerebras-systems-sunnyvale-yajfd7m9cbmv) — Sunnyvale, CA
- [ML Research Scientist - Inference ML](https://feeny.ai/job/ml-research-scientist-inference-ml-cerebras-systems-united-states-and-c4r79zpxmzkj) — United States and, Canada
- [AI Fleet Platform Software Engineer](https://feeny.ai/job/ai-fleet-platform-software-engineer-cerebras-systems-sunnyvale-tgrdee5frnn6) — Sunnyvale, CA