Startups · AI

Product Reliability Engineer

OpenAI · San Francisco · Remote

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About OpenAI

Backed by Greylock, Insight and Khosla.

About the role

We’re looking for a Product Reliability Engineer to own reliability engineering for advanced IT hardware, from printed circuit board assemblies (PCBAs) through compute and networking trays, systems, and fully integrated racks. You’ll translate operating conditions and service-life goals into reliability requirements, design and execute qualification tests, and drive failure analysis and corrective-action verification from development through production and field deployment. Found on 1752vc Careers, the job board for startup and VC roles.

More about this role

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

The Compute team works on the design of our AI supercomputers, doing everything from workload modeling to influencing accelerator design. We’re leaning into our partnerships to make system and data center co-design an integral part of this process, and are looking for engineers to design AI supercomputers solutions for data center applications

This team is responsible for working with partners to optimize their hardware for our workloads, identifying promising new deep learning accelerators, and bringing those hardware platforms to production.

If you’re excited to work at the intersection of cutting edge deep learning, hardware...

Read the full posting on OpenAI's site ↗

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