NVIDIA Corporation

Manager, Data and AI Engineering

NVIDIA Corporation$200K — $322K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's or Bachelor's degree in Computer Science or Information Systems, or equivalent experience.
  • 10+ years in Data Engineering, Software Engineering, or web application development, with at least 3+ years in a leadership role.
  • Ability to write code and build systems alongside your team.
  • Intimate knowledge of the AWS ecosystem, including S3, EC2, IAM, Lambda, and API Gateway.
  • Experience operationalizing Large Language Models into autonomous agents.

Responsibilities

  • Design and build scalable data and AI platforms using Databricks, AWS, and modern cloud-native patterns.
  • Deliver robust ETL/ELT, streaming, and CDC pipelines using Spark, Kafka, and AWS-native services.
  • Enable AI-powered use cases like RAG applications and data-driven web apps.
  • Design optimized data models for analytical performance and governance.
  • Implement data quality frameworks and monitoring to ensure pipeline integrity.
  • Build data foundations for GenAI and advanced analytics initiatives.
  • Collaborate with various teams to translate requirements into scalable solutions.
  • Mentor engineers and foster a culture of accountability and continuous improvement.

Benefits

  • Eligible for equity options.
  • Comprehensive health benefits.
  • Flexible working arrangements.
  • Professional development opportunities.
  • Access to advanced technologies and tools.
Full Job Description
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 productionize 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, 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.


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 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.


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.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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