Nvidia Director AI ML Platform 

United States, California 

541514274

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 20+ 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.

• 8+ 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.