LLM Inference Frameworks and Optimization Engineer
Description
About the Role At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency. We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models. This role offers a unique opportunity to shape the future of LLM inference infrastructure, ensuring scalable, high-performance AI deployment across a diverse range of applications. If you're passionate about pushing the boundaries of AI inference, we’d love to hear from you! Responsibilities Inference Framework Development and Optimization Design and develop fault-tolerant, high-concurrency distributed infer... Observed freshness date: 2026-07-10T19:42:34-04:00 Freshness signal: first_party_updated_at Remote signal: unknown Salary: not published Canonical apply URL: https://job-boards.greenhouse.io/togetherai/jobs/4687884007 Source URL: https://job-boards.greenhouse.io/togetherai