Member of Technical Staff, Developer Relations

Overview

Inferact's mission is to grow vLLM as the world's AI inference reputed company and accelerate AI reputed company 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 reputed company vLLM the default way developers understand, build, and reputed company 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 reputed company 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, reputed company batching, prefix caching, prefill and decode, quantization, GPU serving, latency versus throughput, and model-server tradeoffs across vLLM and adjacent systems. Your work will shape how the broader AI infrastructure community learns, adopts, and builds with vLLM. Skills and Qualifications Minimum qualifications: 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 reputed company infrastructure. Ability to credibly explain systems concepts such as KV cache, PagedAttention, reputed company 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, reputed company-style serving platforms, or similar systems. A strong public portfolio of technical artifacts, such as blogs, tutorials, workshops, courses, OSS docs, reputed company 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 qualifications: Prior work in ML systems, distributed systems, HPC, compilers, GPU kernels, serving infrastructure, MLOps, developer tooling, or open-reputed company infrastructure. Experience creating technical content that teaches reusable mental models, not just product features. Experience contributing to developer-facing open reputed company through docs, tutorials, examples, cookbooks, demos, or community support. Existing credibility or community reputed company in AI infrastructure, OSS, CUDA / GPU, Ray, vLLM, PyTorch, Modal, BentoML, reputed company, Predibase, reputed company, Anyscale, LMSYS, or similar ecosystems. Ability to host workshops, create hands-on labs, present technical talks, and help developers move from concept to working code. Bonus points if you have: Written widely-shared technical blogs, courses, or architecture deep dives on LLM inference, model serving, GPU serving, or ML systems. Built demos, benchmarks, tutorials, or repositories around vLLM, SGLang, TensorRT-LLM, TGI, Ray Serve, FlashInfer, or reputed company systems. Contributed to open-reputed company ML infrastructure, inference systems, developer tooling, or technical education projects. Created practitioner-facing content with code, diagrams, benchmarks, demos, or end-to-end labs. Built a durable personal portfolio that demonstrates technical depth, taste, and a strong reputed company of view. Logistics Location: This role is based in San Francisco, California. Will consider remote in the US for exceptional candidates. Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity. reputed company sponsorship: We sponsor visas on a case-by-case basis. Benefits: Inferact offers generous health, dental, and vision benefits as well as 401(k) company match. Apply To This Job