Manager, Data and AI Engineering

NVIDIA AI; Santa Clara (CA); On-site; USD 200,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI is seeking a Manager of Data & AI Engineering to lead the build-out of our autonomous data intelligence platform for Supply Chain Operations. You will translate operational challenges into data and AI solutions, mentor a high-performing team, and drive delivery at pace.

You will design scalable data/AI platforms with Databricks, AWS, and cloud-native patterns, build robust ETL/ELT pipelines, and enable AI-powered use cases including RAG and tool-calling workflows.

Qualifications

• Master's or Bachelor's degree in Computer Science or Information Systems, or equivalent experience.
• 10+ years in Data/Software engineering with leadership experience.

Responsibilities

• Design and build scalable data and AI platforms using Databricks, AWS, and cloud-native 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 for analytical performance and governance.
• Implement data quality, observability, and monitoring for production pipelines.
• Build data foundations for GenAI, agentic AI, and multi-agent orchestration patterns.
• Partner with product and business teams to translate requirements into secure, scalable solutions.
• Oversee resource planning, prioritisation, and delivery across multiple initiatives and mentor engineers.
• Provide hands-on technical leadership through architecture reviews and production readiness.

Skills

Data architecture

Leadership

AWS

Databricks

Spark PySpark

Data modeling

ETL/ELT

Team mentoring

Education

Master's or Bachelor's in Computer Science or related field

Tools

Databricks

Spark

Delta Lake

Unity Catalog

AWS

Job description

Job Requisition ID JR2016861 Job Category Engineering Time Type Full time

We are looking for a Manager of Data & AI Engineering who combines deep technical expertise with strong delivery leadership and people management. This role will drive the build-out of our next‑generation autonomous data intelligence platform for Supply Chain Operations — from identifying high‑impact opportunities to architecting, building, and productionising solutions that deliver measurable business value. The ideal candidate brings hands‑on experience in architecture and engineering while demonstrating the ability to manage a high‑performing team. This person will partner with business collaborators, translate operational challenges into data and AI solutions, and deliver at pace.

What You’ll Be Doing

• 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 technologies such as 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, prioritisation, 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.

What We Need To See

• 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 operationalising 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.

Ways To Stand Out From The Crowd

• Active Databricks Certifications (e.g., Data Engineer Professional, Generative AI Engineer Associate).
• Active AWS Certifications (e.g., Certified Data Engineer – Associate or Solutions Architect – Professional).
• Background in managing multi‑functional teams that blend data engineers with front‑end and back‑end software developers.
• Knowledge of supply chain business processes for Plan, Make, Deliver & Services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 2, 2026.

NVIDIA uses AI tools in its recruiting processes.

This posting is for an existing vacancy.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.