AI Hardware Researcher & Technical Writer

Cerebras; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

Cerebras Systems is seeking a Hardware Technical Analyst to produce original research and translate complex AI hardware developments into clear, credible content. This hands-on role combines technical research, experimentation, and writing, collaborating with engineering and developer relations to validate findings.

The ideal candidate has 2-3 years in hardware or AI software, with a portfolio of technical writing or research.

Qualifications

• 2-3 years of experience in hardware, AI software, technical research, or a similarly analytical environment.

Responsibilities

• Original research: Analyze AI hardware, software, infrastructure trends, and industry announcements.
• Technical writing: Write articles and research that make complex ideas accessible without sacrificing accuracy.
• Demos and benchmarks: Build demos and run reproducible benchmarks to test claims, investigate performance, and explore tradeoffs.
• Evidence and analysis: Synthesize technical and financial information from primary sources, expert conversations, and hands-on work into clear insights.
• 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.

Job description

Cerebras Systems is seeking a Hardware Technical Analyst to produce original research and translate complex AI hardware developments into clear, credible content. This hands-on role combines technical research, experimentation, and writing, collaborating with engineering and developer relations to validate findings.

The ideal candidate has 2-3 years in hardware or AI software, with a portfolio of technical writing or research.