---
title: 'Hardware Technical Analyst at Cerebras Systems'
canonical: 'https://feeny.ai/job/hardware-technical-analyst-cerebras-systems-sunnyvale-0cd9ayk6xwx5'
type: 'job'
last_seen: '2026-10-13'
---

# Hardware Technical Analyst 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/e6ad7dfe-df4d-4b97-a8a5-fa1f1c3fc2bf

## 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 Hardware Technical Analyst with deep expertise in AI hardware or software to produce original research and turn complex technical developments into clear, credible content. You’ll investigate how systems work, test claims through demos and benchmarks, and explain what the results mean for developers and the broader industry. This is a hands-on individual contributor role combining technical research, experimentation, and writing. You should be as comfortable examining an architecture or building a reproducible test as you are shaping an article and defending its conclusions. You’ll work closely with Developer Relations, Engineering, and New Media to find meaningful stories, validate the details, and help people understand a rapidly changing AI ecosystem.

## What You’ll Own

- Original research: Analyze AI hardware, software, infrastructure trends, and industry announcements. Identify meaningful developments and differentiated story angles, and develop a point of view supported by evidence.
- Technical writing: Write articles and research that make complex ideas accessible without sacrificing accuracy. Explain how systems work, what is new, and why it matters.
- Demos and benchmarks: Build demos and run reproducible benchmarks to test claims, investigate performance, and explore tradeoffs. Document your methodology, assumptions, and limitations.
- Evidence and analysis: Synthesize technical and financial information from primary sources, expert conversations, and hands-on work into clear insights. Evaluate source quality and revise conclusions when the evidence changes.
- Technical collaboration: Partner with Developer Relations, Engineering, and New Media to develop technically grounded content, validate conclusions, and incorporate expert and editorial feedback.
- Industry engagement: Represent Cerebras at industry conferences and turn relevant findings and conversations into useful research and content.
- Research workflows: Use AI tools to accelerate research, coding, and writing while independently verifying sources, results, and claims.

## Skills and Qualifications

- 4+ years of experience in hardware, AI software, technical research, or a similarly analytical environment.
- A strong portfolio of externally published technical writing, research, or other substantive technical content.
- Deep expertise in AI hardware or software, including the architectural and system tradeoffs that affect performance and practical use. Your strength may be in hardware architectures, compute, memory, and interconnects, or in models, inference, and AI application workflows.
- Demonstrated experience building demos or running benchmarks, with the ability to explain your personal contributions, methodology, and results.
- Clear technical writing and communication. You can explain complex mechanisms, support a point of view with evidence, and make the significance clear to your audience.
- Strong research judgment. You can evaluate sources, distinguish evidence from assumptions, design fair comparisons, and communicate limitations honestly.
- Good editorial judgment about what makes technical content original, useful, and engaging.
- The ability to learn unfamiliar technical subjects, collaborate with experts, incorporate critical feedback, and deliver under a deadline.
- Strong familiarity with AI tools and sound judgment about where independent verification is necessary.

## Preferred Experience

- Experience combining technical and financial analysis to explain developments in AI infrastructure.
- Experience turning conference findings or conversations with technical experts into published research.

## 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
- [Head of DevRel](https://feeny.ai/job/head-of-devrel-cerebras-systems-sunnyvale-2ahvwfsv5ame) — 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