Principal Software Engineer
4 months ago
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.
Job Description
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
Bachelor’s or Master’s Degree in Computer Science, Computer Engineering
6-12 years of related industry, hands-on experience
Experience in programming languages, such as C, C++, Python
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
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
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