Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A strong portfolio of externally published technical writing, research, or other substantive technical content
- 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
More about this role
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
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. You should be as comfortable examining an...
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