Hardware Technical Analyst

Cerebras Systems•Sunnyvale, CA

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.
Write articles and research that make complex ideas accessible without sacrificing accuracy. Explain how systems work, what is new, and why it matters.
Build demos and run reproducible benchmarks to test claims, investigate performance, and explore tradeoffs. Document your methodology, assumptions, and limitations.
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.
Partner with Developer Relations, Engineering, and New Media to develop technically grounded content, validate conclusions, and incorporate expert and editorial feedback.
Represent Cerebras at industry conferences and turn relevant findings and conversations into useful research and content.
Use AI tools to accelerate research, coding, and writing while independently verifying sources, results, and claims.