The opportunity
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…
What you'll do
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.
What they're looking for
- Research workflows: Use AI tools to accelerate research, coding, and writing while independently verifying sources, results, and claims.
- 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.
