Senior ML Data Pipeline Architect

NVIDIA Corporation; Santa Clara (CA); On-site; USD 140,000 - 224,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks a Senior Machine Learning Data Pipeline Engineer to design and operate scalable data pipelines for autonomous driving data. You will build end-to-end data tooling, integrate with LLMs and retrieval systems, and partner with ML engineers to automate data preparation.

Ideal candidates have 5+ years in software or data engineering, strong Python and SQL skills, and hands-on experience turning unclear requirements into production data solutions.

Qualifications

• BS or MS in Computer Science, Mathematics or Electrical Engineering, or equivalent experience.
• 5+ years in software or data engineering.
• Strong Python and SQL skills in production environments.
• Experience with data solutions and optimization; diagnosing DNN performance.
• Experience connecting LLMs to tools and data services with workflow state management.
• Understanding of deep learning, embeddings, and LLM/VLM inference.

Responsibilities

• Design, build, and own scalable data pipelines for data discovery, selection, and curation.
• Develop agentic workflows to identify data needs and plan mining tasks.
• Deploy and operate pipelines as production systems with monitoring and recovery.
• Collaborate with MLEs and data analysts to convert needs into reusable mining capabilities.

Skills

Python

SQL

Data pipelines

Production services

Model performance

Education

B.S./M.S. in CS/Math/EE

Job description

NVIDIA Corporation seeks a Senior Machine Learning Data Pipeline Engineer to design and operate scalable data pipelines for autonomous driving data. You will build end-to-end data tooling, integrate with LLMs and retrieval systems, and partner with ML engineers to automate data preparation.

Ideal candidates have 5+ years in software or data engineering, strong Python and SQL skills, and hands-on experience turning unclear requirements into production data solutions.