About SambaNova
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.
Working at SambaNova
This role presents a unique opportunity to shape the future of AI & the value it can unlock across every aspect of an organization’s business & operations, including the ability to train & run state-of-the-art large Foundations Models to churn enormous amounts of data & provide game-changing predictions for their business.
This is a high-visibility position that will be part of the team that is building our cloud-agnostic MLOps DaaS platform from scratch. DaaS enables customers to use Foundational Models without worrying about the complexity of underlying software & hardware infrastructure. This person will be working cross-functionally across product, ML & support teams to build & scale Sambanova’s flagship enterprise-grade ML Ops platform.
Job Description
SambaNova is hiring an Engineering Manager to lead the team of world-class engineers building SambaNova’s Samba Suite platform.
Responsibilities
- Lead and mentor a team of skilled engineers in the development, deployment, and maintenance of our ML Ops platform.
- Collaborate closely with product managers and cross-functional stakeholders to define product requirements, roadmap, and deliverables.
- Drive the end-to-end software development lifecycle, ensuring high-quality and timely delivery of features and enhancements.
- Provide technical guidance and hands-on support to the team, leveraging your expertise in Kubernetes, MLOps, and related technologies.
- Take ownership of the overall architecture, scalability, and performance of the ML Ops platform.
- Foster a culture of innovation, collaboration, and continuous improvement within the engineering team.
- Manage resources, prioritize tasks, and allocate work effectively to meet project milestones and deadlines.
- Contribute to hiring efforts by identifying top engineering talent and participating in the interview process.
- Stay updated with industry trends, emerging technologies, and best practices in ML Ops and AI engineering.
Basic Qualifications
- 12+ years of industry experience in software engineering, with a strong focus on building and deploying scalable solutions.
- At least 2 years of people management experience, leading and developing high-performing engineering teams.
- Proven expertise in Kubernetes and containerization technologies, with hands-on experience deploying and managing large-scale K8s clusters at scale.
- Solid understanding of ML Ops principles, including model versioning, deployment, monitoring, and orchestration.
- Strong programming skills in languages like Python, Java, or Go, with a deep understanding of software development best practices.
- Experience with one or more cloud platforms (e.g., AWS, Azure, GCP) and familiarity with related services and tools.
- Demonstrated ability to drive technical initiatives, make strategic decisions, and navigate complex technical challenges.
- Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Additional Required Qualifications
- Experience in delivering & supporting enterprise-grade B2B products or platforms.
- Experience working in globally distributed teams.
Preferred Qualifications
- Experience of building ML platforms and delivering ML models at scale.
- 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.