The third era of AI has arrived, powered by Generative AI. Generative AI is achieving step-function increases in scale, versatility, and accuracy compared to legacy AI technologies, presenting an opportunity for organizations to fundamentally transform their business and operations.
SambaNova Suite™ is enabling organizations and enterprises to achieve the transformative promise of these new AI technologies with a fully integrated hardware-software system that delivers innovation across the full AI stack, including the most accurate generative AI models, optimized for enterprise and government. This creates the AI backbone for the next 10 years and beyond.
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.
Customers turn to SambaNova to quickly deploy state-of-the-art AI capabilities to meet the demands of the AI-enabled world. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing. We enable customers to unlock the valuable business insights trapped in their data. Our flagship offering, SambaNova Suite™, provides the most accurate generative AI models, optimized for enterprise and government organizations, deployed on-premises or in the cloud, and adapted with an organization’s data for greater accuracy