Gpu Performance Engineer

Seeking an AI Systems Engineer to build production-grade AI-powered tools for graphics design verification, integrating LLMs and agentic workflows into GPU validation.

Seeking an AI Systems Engineer to build production-grade AI-powered tools for graphics design verification, integrating LLMs and agentic workflows into GPU validation.

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...

Seeking a Performance Engineer with experience in load and resiliency testing, application performance monitoring tools (Dynatrace, Splunk, etc.), and root cause analysis. Banking domain knowledge is a plus.

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...

Seeking a Performance Engineer to provide facility management and engineering expertise on infrastructure projects, focusing on energy management, security, and automation to optimize site performance and meet customer needs.

Seeking a Backend Performance Testing Engineer skilled in performance tools, system diagnostics, and database validation to ensure backend system scalability and efficiency under load.

Performance Engineer for MineStar applications, focusing on developing and validating next-generation simulators for autonomous and staffed mining operations. Responsibilities include defining standard work, analyzing performance data, and influencing product development.

Seeking a Staff Performance Engineer to automate performance tests, identify and resolve system bottlenecks (OS, Network, Storage, CPU, memory), and enhance automation frameworks. Requires expertise in cloud platforms, operating systems, and scripting languages.