Senior Inference Engineer

About this role

As a Senior Inference Engineer at vCluster Labs, you are the first engineer we're hiring to own inference. You'll partner directly with our CTO to build the platform's inference layer from the ground up, taking models and turning them into a production-grade, query-to-response pipeline running at scale. From there, you will help lead the engineering direction of inference at vCluster, partnering with Product to shape what we build next as the space evolves.

As a Senior Inference Engineer, your role will include: - Deploying models to production: Take LLMs and put them into production across one or more machines on GPU infrastructure, owning the full pipeline from a customer's query to the served response. - Serving frameworks: Stand up and operate serving infrastructure using vLLM, SGLang, or TensorRT-LLM. - Optimizing for scale: Apply quantization, batching, caching, and routing to keep latency and cost in check as traffic grows.

- Programming, not just configuring: Build real infrastructure in Python or Golang — this is an engineering role, not a research or data-science one. - Owning the roadmap: Build the first iteration alongside our CTO, then take the lead on the inference platform and partner with Product to decide what we build next. This role could be a fit for you if you bring: - Production LLM serving experience: You've deployed and served LLMs using vLLM, SGLang, or TensorRT-LLM, ideally at a company built around inference at scale.

- Inference optimization know-how: Hands-on experience with quantization, batching, caching, and routing, not just familiarity with the terms. - Hands-on programming experience: Strong engineering skills in Python or Golang, with real production code experience. - Communication: Strong communication skills, explaining technical concepts clearly to both engineers and non-technical stakeholders. Bonus points for: - Familiarity with containerized environments (Docker, Kubernetes) - Hands-on generative AI experience with common ML frameworks (PyTorch, Transformers) - Good understanding of the GPU stack: CUDA, NCCL, drivers, and related libraries - Knowledge of model architectures and fine-tuning approaches - Experience with NVIDIA Dynamo ABOUT VCLUSTER LABS We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders.