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 national labs, global corporations across multiple industries, 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. 

The Role

As Cloud Infrastructure Engineer, you will work on our cloud serving infrastructure for AI model training and inference. In this role, you will be responsible for optimizing deployment for minimal latency and efficient load balancing, and on ensuring high reliability, scalability, security, and observability of our distributed training and inference infrastructure. You will define and document production requirements, implement scaling strategies, and ensure robust API server management and high availability. 

You will develop tools to map out system bottlenecks and sources of instability, and design and build solutions to address them. 

Your familiarity with the latest AI research and efficient implementation of these systems will drive team success. You thrive in ambiguity, view change as an opportunity, and have a voracious desire to learn and share knowledge clearly and concisely. 

Skills & qualifications   

• 5+ years as an individual contributor working with production-level cloud service solutions. 
• Experience with ML serving solutions, such as large-scale inference services for modern GenAI models, or other high-throughput scheduling-as-a-service solutions at supercomputing scale.  
• Experience with building high-reliability, production-grade cloud solutions 
• Familiarity with the latest AI model architectures and efficient implementation of serving systems for these models. 
• Strong problem-solving skills and the ability to thrive in ambiguous, rapidly changing conditions. 
• Excellent communication skills and a passion for continuous learning and knowledge sharing. 

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 2024.

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