Join SambaNova Systems: Transforming AI and Business Operations

The era of pervasive AI has arrived. In this transformative period, organizations are leveraging generative AI to unlock hidden data value, streamline processes, reduce costs, enhance efficiency, and drive innovation at scale.

About SambaNova Suite™

SambaNova Suite™ is the premier full-stack generative AI platform, optimized for both enterprise and government organizations. Powered by the intelligent SN40L chip, this fully integrated platform offers on-premises and cloud deployment options. Featuring state-of-the-art open-source models, SambaNova Suite allows for secure, fine-tuning using customer data, providing greater accuracy while ensuring customers retain perpetual model ownership.

Why Work at SambaNova

This role presents a unique opportunity to shape the future of AI and its transformative value across business operations. From strategic product pathfinding to large-scale production, you'll be part of a pioneering team democratizing modern LLM capabilities in real-world applications.

Role: Principal Engineer, Foundation LLM Team

Responsibilities

• Design and implement large-scale data pipelines for high-quality token input into LLMs.
• Continuously enhance SambaNova’s LLM with new modeling techniques, prompt engineering, instruction tuning, and alignment.
• Curate and crawl datasets for domain specificity.
• Collaborate with product management and executive teams to develop a roadmap for continuous LLM improvement and new capabilities.
• Work closely with the product team and customers to translate requirements into LLM capabilities.
• Expand LLM capabilities into new languages and domains.
• Develop applications on top of LLMs, including semantic search, summarization, and conversational agents.

Basic Qualifications

• Bachelor's or Master's degree in engineering or science fields
• 5-10 years of hands-on engineering experience in machine learning

Additional Required Qualifications

• Experience with deep learning frameworks like TensorFlow, PyTorch, Caffe2, or Theano
• Strong theoretical or empirical understanding of deep learning
• Experience in building and deploying machine learning models
• Strong analytical and debugging skills
• Experience with LLMs, Multilingual Models, Semantic Search, Summarization, Data Pipelines, Domain Adaptation (finance, legal, or biomedical), and conversational agents.
• Experience leading small teams
• Proficiency in Python and/or C++

Preferred Qualifications

• Experience in a high-growth startup
• Team player with demonstrated humility
• Action-oriented with a focus on speed and results
• Ability to thrive in a no-boundaries culture and drive innovation

Annual Salary Range and Level

The base salary for this position ranges from $180,000/year to $210,000/year, based on role, level, and location. Individual pay within this range will depend on qualifications, skills, competencies, and experience.

Benefits Summary for US-Based Full-Time Direct Employment Positions

SambaNova offers a competitive total rewards package, including base salary, equity, and benefits. We cover 95% of employee medical insurance premiums and 77% for dependents, and offer a Health Savings Account (HSA) with employer contribution. Additional benefits include Dental, Vision, Short/Long Term Disability, Basic Life, Voluntary Life, and AD&D insurance plans, alongside Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our well-being benefits library includes a Headspace subscription, Gympass+ membership, One Medical membership, counseling services, and more.

Submission Guidelines

To be considered for any position at SambaNova Systems, you must submit an application for each qualifying position. New, recent, or upcoming college graduates interested in opportunities should apply through our university job listings.

EEO Policy

SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration without discrimination based on age, color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry