Not specified (assumed hybrid or onsite based on industry standards)
10+ years data engineering experience
3+ years leadership or management role
Aws ecosystem proficiency
NVIDIA is seeking a Manager of Data & AI Engineering to lead the development of an autonomous data intelligence platform for Supply Chain Operations. The ideal candidate should possess strong technical skills in data engineering, particularly with AWS and Databricks, combined with leadership experience guiding a high-performing team
Job Summary
This role drives the build-out of a next-generation autonomous data intelligence platform for Supply Chain Operations from concept to production.
The ideal candidate combines deep technical expertise in cloud-native engineering with strong delivery leadership and people management skills.
Candidates must be builders at heart, willing to write code and prototype alongside their team while overseeing resource planning and project execution.
Matching Summary
Match Score: 85
NVIDIA is seeking a Manager of Data & AI Engineering to lead the development of an autonomous data intelligence platform for Supply Chain Operations. The ideal candidate should possess strong technical skills in data engineering, particularly with AWS and Databricks, combined with leadership experience guiding a high-performing team.
Salary
Base: 200,000 USD - 322,000 USD; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits
Skills & Requirements
Must-have
10+ years Data Engineering experience
3+ years leadership or management role
AWS ecosystem proficiency
Databricks and Apache Spark expertise
Agentic AI and LLM operationalization
Hands-on coding and prototyping
Nice-to-have
Active Databricks certifications
Active AWS certifications
Supply chain business process knowledge
Multi-functional team management background
Unity Catalog scaling experience
Key Requirements
Master's or Bachelor's degree in Computer Science
10+ years overall experience in Data or Software Engineering
3+ years specifically in leadership or engineering management
Intimate knowledge of AWS services like S3, EC2, IAM
Proven experience operationalizing Large Language Models