Software Engineering Manager, Generative AI

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.

Job Summary

We are looking for a world-class engineering leader to manage a team of talented Machine Learning engineers to deliver cutting edge LLM, speech, and multimodal technologies to production. You will thrive in a fast-paced environment, where you’ll work closely with cross-functional teams to optimise performance and drive velocity. Leveraging cutting-edge techniques, you will play a vital role in our overall success in deploying state of the art AI capabilities all around the globe and help build a team of engineers from the ground up.

Responsibilities include

• Deliver cutting edge LLM, Speech and multimodal technologies to production while partnering with multiple stakeholders across product, compiler, platform and ML Research teams
• Build and maintain well understood training and inference LLM methods for productization
• Build and maintain application code used to run evaluations on various benchmarks
• Improve developer productivity by driving process improvements via automation or other techniques
• Build and maintain data processing utilities for LLM training

Skills we would like

• 8+ years of experience in software engineering
• 3+ years in managing software engineering teams
• Have experience with code review and helping unblock engineers by diving into technical details
• Experience with PyTorch or Python
• Hands on experience with LLMs, Multimodal, and NLP applications would be very useful
• People management or mentoring experience
• Project management skills: Prioritization, communicating across team/org boundaries
• Experience in a startup environment would also be very advantages 
• B.S, M.S. or PhD in Computer Science or a relevant related field

We don’t mind where you are located, we are open to hybrid working, we have teams in London and Cambridge currently.

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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.