# Member of Technical Staff, Developer Relations at Inferact

- Company: Inferact
- What the company does: Inferact is a startup founded by creators and core maintainers of vLLM, the most popular open-source LLM inference engine. Our mission is to grow vLLM as the world. Backed by Sequoia and Redpoint.
- Company website: https://inferact.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $200K to $400K base salary per year (USD)
- Posted: 2026-06-17
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/inferact/e1a91db5-1cd4-4688-863b-33ab88b40a4d
- Page: https://www.1752.vc/careers/jobs/inferact-member-of-technical-staff-developer-relations/

## About the role

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.

## What they're looking for

- 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

Tags: Research & Engineering