Principal Software Engineer, Runtime
Bengaluru, Karnataka, India
SambaNova Systems
Unlock the power of AI for your business with SambaNova's enterprise-grade generative AI platform. Discover how to achieve 10x lower costs & unmatched security.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.
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.
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, Kubernetes, 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, and I/O resources.
- Own and support testing automation of the RDU system software of different configurations and use cases
- Work closely with hardware engineers to validate silicon features before tapeout.
- Provide feedback to the hardware teams on potential improvements
Basic Qualifications
- Bachelor’s or Master’s Degree in Computer Science, Computer Engineering
- 8+ years of related industry, hands-on experience with Linux OS kernel & user space, Kubernetes, system fault management, Ethernet, and I/O virtualization
Additional Required Qualifications
- Experience in programming languages, such as C, C++, Python
- 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
- Demonstrated knowledge of Ethernet concepts, network operating systems, Kubernetes, and 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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Benefits Summary for US-Based Full-Time Direct Employment Positions
(The Recruiter will provide benefit details for non-US-based roles)
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.
If you are a new, recent (within the last two years), or upcoming college graduate and are interested in opportunities with SambaNova Systems, please apply through our university job listings.
EEO Policy
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CMake Computer Science Distributed Systems Engineering Generative AI Kubernetes Linux Machine Learning Open Source Python Testing
Perks/benefits: Career development Competitive pay Equity / stock options Fitness / gym Flex hours Flexible spending account Health care Insurance Salary bonus Startup environment
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