Research Engineer

BeamBeam is an ultrafast AI inference platform. We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs. Developers use our platform to serve apps to millions of users around the globe. We're backed by Y Combinator, Tiger Global, and prominent developer-tool founders, including the founder of Snyk and former CTO of GitHub.About The RoleWe're looking to hire someone to own inference research hands-on and find ways to lower cost per token and latency on our customer workloads.Low-level inference optimization, from speculative decoding, quantization, KV-cache and memory managementWork directly with customers to optimize their production workloads, and apply your learnings to our platform as product improvementsHigh-level of autonomy to find the highest upside bets and guide the future of our inference platform based on your workSkills & ExperienceSystems or research background in LLM inferenceDeep understanding of LLM serving, from the kernel to the schedulerHistory of shipping products or research that people use in production-like scenarios, whether academic or industryExcited to collaborate closely with customersEnthusiasm for developer tools, cloud native technologies, and open source softwareBenefitsCompetitive salary and meaningful equityJoin a fast-growing pre-series A company at the ground floorHealth, dental, and vision benefits with 90% coverage for you and 50% for dependentsOpportunities to participate in events across the cloud native communityFitness stipend, learning budget, and much, much more