Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

About The Role  

As an AI Infrastructure Product Manager Intern, you’ll work closely with cross-functional teams to shape strategy and execution for Cerebras’ hardware platforms. You’ll dive deep into customer needs, market dynamics, and technical tradeoffs to help guide decisions on roadmap, pricing, packaging, and positioning. 

You’ll work cross-functionally with hardware engineering, software, sales, and customer success to bring category-defining inference solutions to market. If you are passionate about solving complex infrastructure challenges and building solutions that scale, this is the role for you. This internship is designed to offer real ownership and impact. You’ll present directly to senior leadership and walk away with tangible experience shipping world-class AI systems.  

Responsibilities  

• Drive competitive analysis and customer segmentation for Cerebras’ AI systems (CS-3, inference clusters, and beyond). 
• Evaluate product-market fit for new hardware configurations and help define product packaging and pricing strategy. 
• Collaborate with engineering and sales teams to gather feedback and prioritize roadmap features. 
• Build business cases for new product opportunities or enhancements. 
• Create internal and external collateral (e.g., product briefs, battle cards, market insights) to support go-to-market efforts. 
• Present recommendations and learnings to the leadership team at the end of your internship.  

Skills And Qualifications 

• Currently enrolled in a full-time MBA program (Class of 2025 or 2026).
• 3+ years of prior work experience in hardware, semiconductors, AI/ML, or systems engineering.
• Strong analytical, strategic thinking, and communication skills.
• Comfortable working in fast-moving environments with ambiguity and evolving priorities.
• Technical background (e.g., BS in Electrical Engineering, Computer Engineering, or Computer Science) is strongly preferred. 

Preferred Skills And Qualifications    

• Experience in product management, strategy, or technical marketing roles.
• Passion for AI, high-performance compute, or ML infrastructure.
• Familiarity with hardware performance metrics, customer workloads, and industry trends in chips and systems.

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.

Read our blog: Five Reasons to Join Cerebras in 2025.

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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