vLLM expert to write an educational article for peers

We create free, advanced educational content for venture-backed technology startups in the public cloud and IT infrastructure space. The readers of our content include administrators, engineers, and technical managers learning to master key industry technologies. To produce content superior to the usual online material, we rely on subject matter experts like you who are willing to share your knowledge with less experienced peers to lend a genuine and practical voice to our educational articles. Our primary interest is your knowledge, ideas, technical expertise, and your ability to communicate them to readers in the way a mentor might train a new team member. We work with professional editors and graphic designers, so we don’t need perfect English or drawing skills, but we require deep subject matter expertise and the ability to articulate your ideas clearly in grammatically correct sentences. The guide below is an example of the type of content we create: https://kubex.ai/blog/kubernetes-gpu-scheduling/ In this job posting, we are seeking an experienced ML infrastructure engineer to write a 1,500–2,000-word article. The series focuses on running vLLM in production on Kubernetes, including distributed inference, tensor parallelism, benchmarking, and serving bottlenecks. Example topics include: vllm distributed inference vllm tensor parallelism vllm tutorial vllm benchmark We require candidates to have hands-on experience operating vLLM in production environments, including serving LLMs on GPUs, configuring tensor or pipeline parallelism, and diagnosing throughput, latency, or KV-cache bottlenecks. Experience with Kubernetes GPU scheduling, NVIDIA Triton, TensorRT-LLM, or Hugging Face Text Generation Inference is useful but not required. This posting is for a single article. However, if this engagement is successful, we would prefer to collaborate with you on additional articles in the coming months at the rate of one or two articles per month. Note that all of our educational articles are published anonymously on the websites of our clients and are not attributed to any authors. We require all writing to be original and done by the author, without assistance from generative AI tools such as ChatGPT. Before applying, please read our AI policy at this link: https://bit.ly/4fiy83D. We also ask that you do not use Upwork’s AI assistant to generate your application proposal.