Hardware Technical Analyst
Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.
About Cerebras Systems, Inc.
Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will research AI hardware, software, infrastructure trends, and industry developments. You will write accessible technical articles, build demos and reproducible benchmarks, evaluate evidence, and document methodologies and limitations. You will collaborate with technical and editorial stakeholders and turn conference findings into useful published content.
Requirements
- 4+ years of experience in hardware, AI software, technical research, or a similarly analytical environment
- Portfolio of externally published technical writing, research, or substantive technical content
- Expertise in AI hardware or software and system tradeoffs affecting performance and practical use
- Experience building demos or running benchmarks
- Technical writing and communication skills
- Research judgment, source evaluation, fair-comparison design, and limitation communication skills
- Editorial judgment
- Ability to learn unfamiliar technical subjects, collaborate with experts, incorporate feedback, and meet deadlines
- Familiarity with AI tools and independent verification practices
Responsibilities
- Analyze AI hardware, software, infrastructure trends, and industry announcements
- Develop evidence-supported research angles and points of view
- Write technical articles and research that explain complex ideas accurately
- Build demos and run reproducible benchmarks
- Document methodology, assumptions, and limitations
- Synthesize technical and financial information into clear insights
- Evaluate source quality and revise conclusions as evidence changes
- Collaborate with technical and editorial stakeholders to validate content
- Represent the organization at industry conferences and develop research from findings
- Use AI tools for research, coding, and writing while independently verifying results