Principal Software Engineer (Runtime)

Working at SambaNova

This role presents a unique opportunity to shape and work on cutting-edge system software solutions for AI and machine learning applications in the enterprise & commercial landscape. The stack spans multiple software layers, and provides products & services including but not limited to OS, software-hardware interface, isolation through virtualization and containerization, scaleout through data-parallel/model-parallel/pipeline-parallel, etc with networking, fault management, application orchestration using Kubernetes, and various tools for management/debugging/diagnostics.

SambaNova is searching for a runtime software engineer candidate that will deliver cutting-edge system software solutions for AI and machine learning applications in the enterprise & commercial landscape. The candidate will participate in building, testing, and deploying next-generation high-performance OS-related system software stack for compute systems for AI applications at scale. The candidate must have a strong background in programming, building, and testing software in distributed systems, networking, and system fault management with good teamwork and planning skills.

This individual will be responsible for:

• Design, develop and maintain OS-related system software with industry-leading performance and capabilities.
• Work across teams to ensure maximum system-level performance.
• Innovate new software-hardware interfaces to manage compute, memory, network and I/O resources for AI applications.
• Own and support testing automation of the RDU system software of different configurations and use cases

• Provide feedback to the hardware teams on potential improvements

Basic Qualifications

• Bachelors or Masters Degree in Computer Science, Computer Engineering
• 6-12 years of related industry, hands-on experience
• Experience in programming languages, such as C, C++, Python
• Experience in AI/ML is preferred

Additional Required Qualifications

• Experience and knowledge with I/O virtualization technologies, industry-standard open-source networking, and parallel computing frameworks such as MPI, and UCX is a bonus.
• Experience with Linux kernel, drivers, user space libraries, and applications with strong Linux fundamentals

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• Experience with PCIe, DMA is a plus.
• Demonstrated knowledge of Ethernet, DMA, RDMA, RoCE concepts.
• Knowledge of system fault management is desired
• Good communication skills and enthusiasm to help colleagues
• Knowledge of various compiler and build systems, such as GCC, LLVM, Make, and CMake

Preferred Qualifications

• Experience working in a high-growth startup
• A team player who demonstrates humility
• Action-oriented with a focus on speed & results
• Ability to thrive in a no-boundaries culture & make an impact on innovation