Senior Manager, Artificial Intelligence - Machine Learning Platform

Responsibilities

• 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 vision for the AI/ML platform, aligning it with the needs of the organization and its researchers.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.
• Strong analytical and problem-solving abilities, with a focus on delivering innovative solutions.
• Ways to stand out from the crowd:
• Experience in developing and leading AI/ML platforms in a research or academic environment.
• Familiarity with cloud-based AI/ML platforms and infrastructure.
• Proven ability to drive efficiency and innovation within technical teams and projects.
• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5. You will also be eligible for equity and benefits .
• Applications for this job will be accepted at least until June 4, 2026. This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.

Additional Information

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.

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Company Intel

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