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Manager, Data and AI Engineering

NVIDIA· Mgmt, SW Eng
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Santa Clara, CA$200k - $322kfull-timePosted 6mo ago

About the role

Manager of Data & AI Engineering who combines deep technical expertise with delivery leadership and people management to build a next-generation autonomous data intelligence platform for Supply Chain Operations, translating operational challenges into data and AI solutions and delivering at pace.

Responsibilities

  • Design and build scalable data and AI platforms using Databricks, AWS, and modern cloud-native engineering patterns.
  • Deliver robust ETL/ELT, streaming, and CDC pipelines using Spark, Kafka, Delta Lake, and AWS-native services.
  • Enable delivery of AI-powered use cases including RAG applications, AI agents, tool-calling workflows, and data-driven web apps.
  • Design data models using Star Schema, Snowflake Schema, and Data Vault patterns appropriate to the use case — optimizing for analytical query performance, data governance, and extensibility.
  • Implement data quality frameworks, observability, alerting, and monitoring to ensure pipeline integrity and production reliability.
  • Build the data foundation for GenAI, agentic AI, and advanced analytics initiatives, including RAG pipelines, vector search, knowledge graphs, and multi-agent orchestration patterns
  • Partner with product, business, analytics, and AI collaborators to translate requirements into secure, scalable, and production-ready solutions.
  • Oversee resource planning, prioritization, project execution, and delivery across multiple concurrent initiatives, and mentor engineers, grow technical capability across the team, and develop a culture of accountability, innovation, and continuous improvement.
  • Provide hands-on technical leadership across architecture, design reviews, implementation guidance, and production readiness, and handle the full lifecycle of data engineering projects — from discovery and planning through execution and production rollout.

Qualifications

  • Master's or Bachelor's degree in Computer Science or Information Systems, or equivalent experience
  • 10+ overall years in Data Engineering, Software Engineering, or web application development, with at least 3+ years specifically in a leadership or engineering management role.
  • Willingness to Code: You are still a builder at heart. You are excited to spend your time writing code, prototyping, and building production systems alongside your team.
  • AWS Proficiency: Intimate knowledge of the AWS ecosystem, including Amazon S3, EC2, IAM, Lambda, and API Gateway.
  • Agentic AI & LLM Mastery: Proven experience operationalizing Large Language Models (LLMs) into autonomous agents that can plan, use tools, and implement multi-step workflows.
  • Databricks Mastery: Proven deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows. Hands-on experience scaling Unity Catalog is highly preferred.

Skills

Required:DatabricksAWSLarge Language Models (LLMs)Data Modeling

Benefits

  • equity
  • benefits (see company benefits)
Last updated Oct 9, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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