Build and maintain scalable infrastructure and automated workflows for the Cerebras software stack, supporting cloud and datacenter operations while monitoring software quality and performance on AI systems.
Cerebras jobs
Develops AI computing systems and inference technology.
79 open roles at Cerebras
Build and improve software across an AI-accelerated system, working close to hardware and networking on low-level infrastructure, distributed systems, performance, reliability, and system bring-up.
AI Inference Core - Software Integration Engineer
Integrate and validate complex inference capabilities across AI frameworks, runtimes, compilers, kernels, distributed systems, and hardware, taking ambiguous ideas from prototype to reliable, release-ready results.
Develop and optimize low-level machine learning and HPC kernels for a massively parallel processor, improving performance and validating kernel libraries while collaborating with hardware architects on future systems.
Own the AI model portfolio and roadmap, partnering with model labs and engineering teams to launch and evaluate models, improve inference performance, and help customers integrate them into their products.
Lead kernel software development for AI and HPC workloads, designing, optimizing, and validating parallel algorithms and low-level routines for Cerebras hardware while guiding technical teams.
Bring up and optimize open-source and customer-provided AI models on Cerebras CSX systems, working across model translation, compiler optimization, runtime integration, debugging, and performance tuning.
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