P
San Francisco, California, United States· Full-time· Remote
$220K – $405K/yr
PythonAWSKubernetesAI
I
Active4mo ago
Member of Technical Staff, Developer Relations
Role overview
Job description
Overview Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build. About the Role We're looking for a Developer Relations Engineer to help make vLLM the default way developers understand, build, and scale AI inference. This is not a generic DevRel role. We're looking for a inference systems educator-builder: someone who can understand vLLM as a deep LLM inference systems project, teach hard technical concepts clearly, and create public artifacts that help practitioners build better systems. You'll write technical deep dives, build demos, create tutorials, contribute to docs and examples, host workshops, and help developers understand topics like KV cache, continuous batc
…About this listing
- Source: Inferact's official careers site (via Ashby) · last confirmed on the source 31 Oct 2026
- Posted 17 Jun 2026
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What they are looking for
Skills & requirements
machine learningailogistics
Qualification
Bachelor's degree or equivalent experience in computer science, engineering, machine learning, systems, or similar. Strong technical understanding of LLM inference systems, model serving, GPU inference, distributed runtimes, scheduling, batching, quantization, or related infrastructure. Ability to credibly explain systems concepts such as KV cache, PagedAttention, continuous batching, prefill / decode scheduling, prefix caching, speculative decoding, tensor parallelism, data parallelism, or latency versus throughput tradeoffs. Experience with vLLM or adjacent inference technologies such as SGLang, TensorRT-LLM, TGI, LoRAX, Ray Serve, FlashInfer, BentoML, Baseten-style serving platforms, or similar systems. A strong public portfolio of technical artifacts, such as blogs, tutorials, workshops, courses, OSS docs, benchmark posts, architecture explainers, conference talks, demos, or runnable repositories. Ability to write and teach for practitioners without sounding like a content marketer. Strong engineering judgment, product taste, and ability to turn raw technical material into useful developer education. Preferred
Department · Research & Engineering
Hiring company
Inferact
Transportation & Logistics
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