NVIDIA
Manager, Data and AI Engineering
$200K–$322K
US, CA, Santa Clara · Manager · Full-time · Posted Oct 7, 2026
- Experience
- 10+ overall years, including at least 3+ years in a leadership or engineering management role.
- Education
- Master's or Bachelor's degree in Computer Science or Information Systems, or equivalent experience.
About the job
Leads a team building and operating a data intelligence platform for supply chain operations, combining hands-on data engineering with AI-powered solutions.
What you'll do
- Architect and deliver scalable data platforms, pipelines, data models, and production-ready AI applications.
- Lead project planning and execution across concurrent initiatives; mentor engineers and manage team development.
- Partner with business and technical collaborators to turn operational needs into secure, reliable solutions.
What they ask for
- Bachelor’s or Master’s degree in Computer Science or Information Systems, or equivalent experience.
- 10+ years in Data Engineering, Software Engineering, or web application development, including at least 3+ years in leadership or engineering management.
- Proficiency with AWS, including Amazon S3, EC2, IAM, Lambda, and API Gateway.
- Proven experience operationalizing LLMs as autonomous agents; deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows.
Nice to have
- Hands-on experience scaling Unity Catalog; active Databricks or AWS certifications.
- Experience managing teams spanning data and software engineering; knowledge of supply chain processes for Plan, Make, Deliver & Services.
Pay
200,000 USD - 322,000 USD base salary
Tools
Databricks, AWS, Spark, Kafka, Delta Lake, PySpark, Amazon S3, Unity Catalog
AI focus
Builds AI-powered RAG applications, autonomous agents, tool-calling workflows, GenAI and agentic AI foundations, vector search, knowledge graphs, and multi-agent orchestration.
Model-written summary · the original posting is authoritative