NVIDIA
Manager, Data and AI Engineering
$200K–$322K
US, CA, Santa Clara · Manager · Full-time · Posted Oct 23, 2026
- Experience
- 10+ overall years, with at least 4+ years specifically in leadership or engineering management.
- 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 and AI platform for supply chain operations, from architecture and implementation through production delivery.
What you'll do
- Design and build scalable data platforms, pipelines, models, and AI-powered applications.
- Lead project planning and delivery across initiatives; mentor engineers and provide hands-on technical guidance.
- Partner with business and technical collaborators to turn operational needs into secure, production-ready 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 4+ years in leadership or engineering management.
- Proficiency in AWS, including Amazon S3, EC2, IAM, Lambda, and API Gateway.
- Proven experience operationalizing LLMs as autonomous agents, plus 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 multidisciplinary teams or knowledge of supply chain processes.
Pay
200,000 USD - 322,000 USD base salary
Tools
Databricks, AWS, Spark, Kafka, Delta Lake, Amazon S3, EC2, IAM
AI focus
Builds and operationalizes LLM-based autonomous agents, RAG applications and pipelines, tool-calling workflows, vector search, knowledge graphs, and multi-agent orchestration.
Model-written summary · the original posting is authoritative