Senior Data & AI Platform Lead (Equity Eligible)

NVIDIA Corporation

United States

On-site

USD 200,000 - 322,000

Full time

5 days ago
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Benefits offered by this job

Equity
Benefits package

Job summary

NVIDIA Corporation is seeking a Manager of Data & AI Engineering in the United States to lead the build-out of an autonomous data intelligence platform for Supply Chain Operations. You will translate business challenges into data and AI solutions, architect and productionize systems, and mentor a high-performing team.

You will design scalable data and AI platforms using Databricks, AWS, and modern cloud patterns, deliver robust ETL/ELT, streaming pipelines, and AI-powered use cases at pace while

Qualifications

  • Master's or Bachelor's degree in Computer Science or Information Systems, or equivalent experience.
  • 10+ years in Data/Software Engineering, with 4+ years in leadership or engineering management.
  • Willingness to code, build, prototype, and ship production systems with the team.
  • Deep AWS knowledge (S3, EC2, IAM, Lambda, API Gateway).
  • Experience operationalizing LLMs into autonomous agents and multi-step workflows.
  • Deep Databricks, Spark, PySpark, Delta Lake, and Databricks Workflows expertise.

Responsibilities

  • Design and build scalable data and AI platforms using Databricks, AWS, and cloud-native patterns.
  • Deliver ETL/ELT, streaming, and CDC pipelines with Spark, Kafka, Delta Lake, AWS services.
  • Enable AI-powered use cases including RAG apps, AI agents, tool-calling workflows, data-driven web apps.
  • Design data models (Star/Snowflake/Data Vault) for analytical performance and governance.
  • Implement data quality, observability, and production monitoring for pipelines.
  • Lead GenAI/data analytics initiatives including vector search and multi-agent orchestration.
  • Mentor engineers, drive accountability, and oversee multi-project delivery from discovery to production.

Skills

Data engineering leadership
Code willingness
AWS proficiency
Databricks mastery
LLM/Agentic AI mastery
Apache Spark/PySpark
Delta Lake
Databricks Workflows
Unity Catalog

Education

Master's or Bachelor's in CS/IS

Tools

Spark
Kafka
Delta Lake
Databricks

Job description

NVIDIA Corporation is seeking a Manager of Data & AI Engineering in the United States to lead the build-out of an autonomous data intelligence platform for Supply Chain Operations. You will translate business challenges into data and AI solutions, architect and productionize systems, and mentor a high-performing team.

You will design scalable data and AI platforms using Databricks, AWS, and modern cloud patterns, deliver robust ETL/ELT, streaming pipelines, and AI-powered use cases at pace while

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