C
San Francisco, California, United States· Full-time· Remote
$190K – $325K/yr
AWSAzureGCPKubernetes
P
Active1d ago
Member of Technical Staff (Software Engineer, GPU Cluster Infrastructure)
Role overview
Job description
Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads. Responsibilities Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure. Operate the GPU fleet . Own pro
…About this listing
- Source: Perplexity's official careers site (via Ashby) · last confirmed on the source 29 Oct 2026
- Posted 28 Oct 2026
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What they are looking for
Skills & requirements
Qualification
Additional experience we value Inference serving stacks: vLLM, SGLang, or TensorRT-LLM
Department · Platform & Infrastructure
Hiring company
Perplexity
Construction
View the company profile, current openings and hiring details.
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