Hardware Technical Analyst

Cerebras Systems•Sunnyvale, CA

About The Position

Cerebras Systems is seeking a Hardware Technical Analyst with deep expertise in AI hardware or software. This role involves producing original research, turning complex technical developments into clear content, investigating system functionality, testing claims through demos and benchmarks, and explaining the implications of results for developers and the industry. It is a hands-on individual contributor position that blends technical research, experimentation, and writing. The ideal candidate is comfortable examining architectures, building reproducible tests, and crafting articles to support conclusions. Collaboration with Developer Relations, Engineering, and New Media teams is essential for identifying compelling stories, validating technical details, and helping others understand the evolving AI ecosystem.

Requirements

2–3 years of experience in hardware, AI software, technical research, or a similar analytical field.
A strong portfolio of externally published technical writing, research, or other substantial technical content.
Deep expertise in AI hardware or software, including architectural and system tradeoffs affecting performance and practical use (e.g., hardware architectures, compute, memory, interconnects, or models, inference, AI application workflows).
Demonstrated experience building demos or running benchmarks, with the ability to explain personal contributions, methodology, and results.
Clear technical writing and communication skills, capable of explaining complex mechanisms, supporting viewpoints with evidence, and clarifying significance for the audience.
Strong research judgment, including the ability to evaluate sources, distinguish evidence from assumptions, design fair comparisons, and communicate limitations honestly.
Good editorial judgment regarding what makes technical content original, useful, and engaging.
Ability to learn unfamiliar technical subjects, collaborate with experts, incorporate critical feedback, and deliver under deadlines.
Strong familiarity with AI tools and sound judgment regarding the necessity of independent verification.

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

Conduct original research on AI hardware, software, infrastructure trends, and industry announcements.
Analyze meaningful developments and identify differentiated story angles, forming evidence-based points of view.
Write articles and research papers that simplify complex ideas without compromising accuracy, explaining system functionality, innovations, and their significance.
Build demos and execute reproducible benchmarks to validate claims, assess performance, and explore tradeoffs, documenting methodology, assumptions, and limitations.
Synthesize technical and financial information from various sources into clear insights, evaluating source quality and revising conclusions as needed.
Collaborate with Developer Relations, Engineering, and New Media to develop technically sound content, validate findings, and integrate expert and editorial feedback.
Represent Cerebras at industry conferences and translate relevant findings and discussions into valuable research and content.
Utilize AI tools to enhance research, coding, and writing processes while independently verifying sources, results, and claims.