Technical Analyst

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.

Core responsibilities

• Research and analyze AI hardware, software, infrastructure trends, and industry announcements to identify meaningful developments and differentiated story angles.

• Write technical articles and research that make complex ideas accessible without sacrificing accuracy.

• Build demos and run reproducible benchmarks to test claims, explore tradeoffs, and support published analysis.

• Synthesize technical and financial information from primary sources, expert conversations, and hands-on work into clear insights.

• Partner with DevRel, engineering, and New Media to develop technically grounded content and validate conclusions.

• Represent Cerebras at industry conferences and turn relevant findings into research and content.

• Use AI tools to accelerate research, coding, and writing while independently verifying sources, results, and claims.

Required competencies

• Deep expertise in AI hardware or software, including the architectural and system tradeoffs that affect performance and practical use.

• Strong research judgment: evaluate source quality, distinguish evidence from assumptions, and revise conclusions when the evidence changes.

• Clear technical writing and communication, with a point of view supported by evidence.

• Hands-on ability to build demos, design fair benchmarks, and explain limitations.

• Ability to learn unfamiliar technical subjects, collaborate with experts, and incorporate feedback.

• Strong familiarity with AI tools and sound judgment about where human verification is necessary.

Required qualifications

• A strong portfolio of externally published technical writing, research, or other substantive technical content.

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

• Demonstrated experience building demos or running benchmarks, with the ability to explain personal contributions and methodology.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU.

2. Publish and open source their cutting-edge AI research.

3. Work on one of the fastest AI supercomputers in the world.

4. Enjoy job stability with startup vitality.

5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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