Hardware Research Analyst

About the role

Cerebras Systems builds a large-scale AI chip and is looking for a Hardware Technical Analyst in Sunnyvale. The role produces original research and turns complex technical developments into clear, credible content, investigating how systems work, testing claims through demos and benchmarks, and explaining what the results mean for developers and the industry. It is a hands-on individual contributor role combining technical research, experimentation and writing, working closely with Developer Relations, Engineering and New Media.

Key responsibilities

• Analyze AI hardware, software and infrastructure trends and industry announcements, identify meaningful developments and story angles, and develop a point of view supported by evidence.
• Write articles and research that make complex ideas accessible without sacrificing accuracy.
• Build demos and run reproducible benchmarks to test claims, document methodology, assumptions and limitations.
• Synthesize technical and financial information from primary sources, expert conversations and hands-on work, evaluating source quality and revising conclusions when evidence changes.
• Partner with Developer Relations, Engineering and New Media to develop technically grounded content and incorporate expert and editorial feedback.
• Represent Cerebras at industry conferences and turn relevant findings into research and content.
• Use AI tools to accelerate research, coding and writing while independently verifying sources, results and claims.

Required profile

• A strong portfolio of externally published technical writing, research or other substantive technical content.
• Deep expertise in AI hardware or software, including architectural and system tradeoffs affecting performance and use.
• Demonstrated experience building demos or running benchmarks, with the ability to explain contributions, methodology and results.
• Strong research judgment: evaluating sources, distinguishing evidence from assumptions, designing fair comparisons and communicating limitations honestly.
• Ability to learn unfamiliar technical subjects, collaborate with experts, incorporate critical feedback and deliver under a deadline.

Preferred experience

• Combining technical and financial analysis to explain developments in AI infrastructure.
• Turning conference findings or conversations with technical experts into published research.