Senior Principal Runtime Engineer
About the role
The Runtime team at Sambanova is a seasoned engineering team with a proven track record of delivering cutting-edge system software solutions for AI and machine learning applications in the enterprise & commercial landscape.
Runtime is responsible for the lowest levels of the SambaNova stack, efficiently interacting with the hardware to provide the best application performance and maximize hardware utilization. We handle all aspects of software infrastructure to enable higher level applications, including:
High performance user libraries
Operating System interface/integration
Data model manipulation for scaling
Networking/communication intra and inter node
Orchestration of partitioned workloads
Error monitoring and tools for system management and observability
We build a high performance, distributed and scalable software execution environment for SambaNova DataScale & 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. We expect the candidate to have a strong background in programming, building and testing software in distributed systems, performance tuning of large scale systems, and good teamwork and planning skills.
Responsibilities
Work on design and implementation of new and enhanced features of the runtime stack to support high performance and scalable ML inference and training applications
System software (drivers and kernel) support for the next generation silicon.
Design 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.
Collaborate with other teams including Hardware, ML Application, Compiler, DevOps.
Required Qualifications
Bachelor’s in Computer Science, Computer Engineering, or equivalent and with 3-5 years of industry experience
Proficiency in C/C++ and Python
Experience with user space libraries, operating systems, and kernel drivers
Experience working with highly concurrent and distributed systems, with a focus on performance and scalability
Preferred Qualifications
Experience with different types of fabrics, such as PCIe, Infiniband, and RoCE
Experience with fast networking stacks, such as RDMA
Good communication skills and enthusiasm to help colleagues