NVIDIA
Technology
SeniorManager,ArtificialIntelligence-MachineLearningPlatform
Neural analysis suggests this role is
optimal for Manager candidates.
“Senior Manager, Artificial Intelligence - Machine Learning Platform at NVIDIA. Skills: AI/ML Platform, Machine Learning Platform, Foundational Models. Lead strategic direction AI/ML platform. Lead development AI/ML platform”
Industry & Context.
Analytical abilities; Problem-solving abilities
What They're Looking For.
Must Have
12+ years AI/ML infrastructure experience, 6+ years leading technical team, Bachelors degree or equivalent experience, Deep understanding AI/ML lifecycle, Deep understanding high-performance computing, Deep understanding niche hardware, Deep understanding storage, Deep understanding networking, Leadership and team management skills, Experience leading multi-functional teams, Experience leading sophisticated projects, Develop and implement strategic vision, Excellent communication skills, Excellent interpersonal skills, Analytical and problem-solving abilities
Nice to Have
Experience developing AI/ML platforms research environment, Experience leading AI/ML platforms research environment, Familiarity with cloud-based AI/ML platforms, Familiarity with cloud-based AI/ML infrastructure, Proven ability drive efficiency technical teams, Proven ability drive innovation technical teams, Proven ability drive efficiency projects, Proven ability drive innovation projects
What You'll Do.
Lead strategic direction AI/ML platform
Lead development AI/ML platform
Lead continuous improvement AI/ML platform
Optimize efficiency ML workflow
Optimize resilience ML workflow
Lead and mentor engineers
Foster collaborative culture
Foster high-performance culture
Work closely with internal teams
Understand team needs
Ensure platform provides tools
Ensure platform provides resources
Drive innovation within platform
Drive efficiency within platform
Explore new technologies
Implement new technologies
Explore new methodologies
Implement new methodologies
Enhance AI/ML ecosystem capabilities
Enhance AI/ML ecosystem performance
Maintain customer focus
Ensure platform meets user needs
Ensure platform delivers high value
How You'll Work.
Team & Collaboration
Collaborative culture; Internal teams; Data scientists; Researchers; IT teams; Diverse stakeholders
Communication Scope
Excellent communication
Full Job Description
We are seeking a reasoned engineering leader in the area of Artificial Intelligence/Machine Learning Platforms to lead the development and management of our comprehensive suite of tools and services to support the entire lifecycle of AI/ML projects. This role is critical for enabling our internal researchers to bring to bear very large-scale systems for training foundational models with flexibility and efficiency. **What you will be doing:** * Lead the strategic direction, development, and continuous improvement of the AI/ML platform, ensuring it meets the needs of internal researchers for large-scale model training and deployment. * Optimize efficiency and resilience of different stages of ML workflow, including data ingestion, preprocessing, check-pointing, model training, deployment, and monitoring. * Lead and mentor a team of highly skilled engineers, fostering a collaborative and high-performance culture. * Work closely with various internal teams, including data scientists, researchers, and IT, to understand their needs and ensure the platform provides the necessary tools and resources. * Drive innovation and efficiency within the platform, exploring and implementing new technologies and methodologies to enhance the capabilities and performance of the AI/ML ecosystem. * Maintain a strong customer focus, ensuring the platform meets the evolving needs of its users and delivers high value. **What we need to see:** * 12+ overall years of experience in AI/ML infrastructure, with a proven track record of managing large-scale AI/ML projects and platforms. * 6+ years of experience leading a highly technical, and collaborative team. * Bachelors degree or equivalent experience. * Deep understanding of AI/ML lifecycle management, high-performance computing, niche hardware, storage and networking. * Strong leadership and team management skills, with experience leading multi-functional teams and leading sophisticated projects. * Ability to develop and implement a strategic
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