Cerebras Systems
Hardware Technical Analyst
Sunnyvale, CA · Mid
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About the role
- 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 explain what the results mean for developers and the broader industry.
- This is a hands-on individual contributor role combining technical research, experimentation, and writing.
Responsibilities
- 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.
- Build demos and run reproducible benchmarks to test claims, investigate performance, and explore tradeoffs.
- Demos and benchmarks: Build demos and run reproducible benchmarks to test claims, investigate performance, and explore tradeoffs. Document your methodology, assumptions, and limitations.
- Technical collaboration: Partner with Developer Relations, Engineering, and New Media to develop technically grounded content, validate conclusions, and incorporate expert and editorial feedback.
Requirements
- Deep expertise in AI hardware or software, including the architectural and system tradeoffs that affect performance and practical use.
- 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.
- Clear technical writing and communication. You can explain complex mechanisms, support a point of view with evidence, and make the significance clear to your audience.
- Strong research judgment. You can evaluate sources, distinguish evidence from assumptions, design fair comparisons, and communicate limitations honestly.
- Good editorial judgment about what makes technical content original, useful, and engaging.
- The ability to learn unfamiliar technical subjects, collaborate with experts, incorporate critical feedback, and deliver under a deadline.
- Strong familiarity with AI tools and sound judgment about where independent verification is necessary.
Nice to have
- Experience combining technical and financial analysis to explain developments in AI infrastructure.
- Experience turning conference findings or conversations with technical experts into published research.
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
- Research workflows: Use AI tools to accelerate research, coding, and writing while independently verifying sources, results, and claims.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.