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.
We handle all phases of embedded software infrastructure to enable the higher level apps, including:
- OS interface/integration
- Data model manipulation for scaling
- Networking/communication intra and inter node
- Orchestration of partitioned workloads
- Chipset initialization/fault management/error monitoring of the hardware modules.
We build a high performance, distributed and scalable software execution environment for SambaNova DataScale & SambaSuite platform(s) to support data-flow applications e.g. ML training and inference, data processing operations like ETL, and HPC applications.
We are searching for an embedded 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.
Role Responsibilities
- Work on design and implementation of new and enhanced features of the runtime/embedded OS stack to support high performance and scalable ML training applications
- Work on system software support for the next generation RDU system
- Provide tools and performance profilers for customers to configure and use the Datascale system
Qualifications
- Bachelor’s in Computer Science, Computer Engineering, or equivalent and with 3-5 years of embedded industry experience
- Proficiency in C/C++ with having worked on real time embedded systems.
- Experience with firmware, operating system, kernel space driver, and user space library.
- Experience developing software on AI accelerators and having profiling done on GPU like architectures.
- Worked on a few chipset bring-up’s activities like low level initializations of hardware interfaces like PCIE, CXL, ethernet and networking stack like RDMA.
Annual Salary Range and Level
The base salary for this position ranges from $140,000/year up to $180,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location.
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