AI Cloud Platform Software Engineer - New Grad

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 a software engineer on our AIcloud platform,you will work on our cloud platform 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.

We're looking for talented software engineers who thrive in ambiguity, view change as an opportunity, and have a voracious desire to learn and share knowledge clearly and concisely.

Skills And Qualifications

• Exposure or experience with cloud services: web consoles, cloud-based APIs, and cloud services.
• Exposure or experience in developing or building ML serving and/or training services, preferably for modern generative AI models.
• Familiarity with the latest AI model architectures and efficient implementation of serving systems for these models.
• Strong problem-solving skills and excellent communication skills.
• A real passion for AI!