Senior Runtime Engineer

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the role The Runtime Team builds a high-performance, distributed and scalable software execution environment for SambaNova SambaStack and Cloud platforms to support data-flow applications such as ML training and inference and HPC applications. We are searching for a software engineer who will work on all parts of the runtime stacks, supporting AI, ML, and scientific applications in high-performance distributed systems. You will participate in building, testing and deploying next-generation high-performance compute systems for AI applications at scale. Responsibilities div]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8"> _*]:min-w-0 gap-3 [&_>_*:last-child]:mb-0 print:block print:[&_>_*_+_*]:mt-3 standard-markdown"> In this role, you'll design and implement new features across the runtime stack including: New and enhanced features to support high-performance, scalable ML inference and training applications Drivers and kernels for next generation silicon Eliminate networking bottlenecks to enable high performance distributed systems User-space libraries for high performance and high utilization of HW resources User-facing tools (analysis, job and HW management, profiling, debugging, etc) for Datascale systems Cross-functional collaboration including Hardware, ML Application, Compiler, and DevOps Required Qualifications Bachelor's or higher degree in Computer Science, Engineering, or related field (or equivalent experience) 5+ years of software engineering experience, often with emphasis on distributed systems, networking, or cloud infrastructure Proven experience building, testing, and tuning software for distributed, high-performance systems. In-depth knowledge of user libraries, and runtime stacks Solid understanding of Switching and Routing and ability to configure and debug switches and routers for maximum application performance Significant experience with RDMA and RoCE networking stacks, such as RDMA based verbs and congestion management Hands-on experience with kernel drivers and system-level software that directly interfaces with hardware Expertise in designing and optimizing systems that handle massive parallel workloads, including machine learning training and inference tasks that involve billions of operations per second Deep understanding of hardware-software interaction, including registers, device memory management, and the intricacies of accelerator design. Experience working with ASIC accelerators is highly desirable Familiarity with distributed systems architecture, including networking, communication protocols, and the challenges of scaling compute resources efficiently Hands-on experience with software development tools such as Git, Jenkins, and Jira, with an ability to drive automation and continuous integration efforts Ability to work at the intersection of hardware and s…