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.
The Runtime Team at SambaNova
The Runtime team is at the core of SambaNova’s technology stack. We specialize in delivering high-performance system software solutions that power AI and machine learning applications across the enterprise landscape. Our team operates at the lowest levels of the SambaNova stack, directly above the hardware, and is responsible for all aspects of infrastructure that support the higher-level applications.
Our work includes:
- OS integration and interface management
- Data model manipulation to ensure scalability
- Intra- and inter-node networking/communication
- Orchestration of partitioned workloads
- Error monitoring and general hardware lifecycle management
We build a distributed, scalable, and high-performance software environment that supports data-driven applications such as ML training and inference, ETL data processing, and high-performance computing (HPC) applications.
The Role: Software Engineer – Runtime Infrastructure
We’re looking for an experienced Software Engineer to join our Runtime team and help us continue to build, optimize, and scale the infrastructure that powers SambaNova’s generative AI solutions. In this role, you’ll work on a diverse range of technologies, from low-level drivers and kernel modules to high-level user-space libraries. You will play a crucial role in shaping the next generation of high-performance compute systems for AI applications at scale.
As a key member of our team, you’ll have the opportunity to:
- Design and enhance the infrastructure for ML training and inference at scale.
- Support system software, including drivers and kernel modules, for cutting-edge hardware.
- Build user-facing tools that improve system monitoring, job management, and profiling for the SambaNova platform.
- Develop solutions for virtualization and multi-tenant environments to improve ease of use and isolation.
- Collaborate with cross-functional teams, including ML, Compiler, and DevOps, to ensure system-wide optimization.
What We’re Looking For:
- Strong experience in operating system development, including kernel space drivers and user-space libraries.
- Expertise with communication fabrics (e.g., RDMA, PCIe, Infiniband, RoCE) and high-performance data transport mechanisms.
- Hands-on experience with software bring-up for custom hardware platforms.
- A solid understanding of distributed systems, performance tuning, and large-scale system architecture.
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, dynamic environment.
- Strong communication skills and a passion for mentoring and working with colleagues across teams.
Preferred Skills & Qualifications:
- Familiarity with high-performance computing (HPC) workloads and AI applications.
- Experience with containerization and virtualization technologies.
- A track record of contributing to open-source projects or developing innovative system-level software.
- Enthusiasm for innovation and the drive to push the boundaries of what’s possible in the world of AI.
At SambaNova, we are building the future of AI, and we want you to be part of that journey. If you’re ready to work on groundbreaking technology and make a lasting impact, we’d love to hear from you.
Annual Salary Range and Level
The base salary for this position ranges from $170,000/year up to $210,000/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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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.
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.
Benefits Summary for US-Based, Full-Time Employment Positions
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.
Top Skills
SambaNova Systems Palo Alto, California, USA Office
Our Palo Alto office is in a tech complex known for incubating research facilities and borders the Bay Trail along the Don Edwards Wildlife Refuge. Only a 5-minute walk, our employees often fly out of PAO for lunch with colleagues or enjoy happy hour at the nearby Palo Alto Country Club.
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