Senior ML Data Pipeline Engineer for Autonomous Driving

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 in Santa Clara, CA seeks a Senior Machine Learning Data Pipeline Engineer to design and own scalable data pipelines for end-to-end autonomy data. You will build agentic workflows, integrate data infrastructure with LLMs, and deploy reliable production systems with monitoring and failure recovery.

The role requires 5+ years in software/data engineering, strong Python/SQL, and deep learning knowledge related to DNN data preparation.

Qualifications

• BS or MS in CS/Math/EE or related field, or equivalent experience.
• 5+ years in software or data engineering.
• Strong Python and SQL skills with production services.

Responsibilities

• Design, build, and own scalable data pipelines for automated data discovery and curation to meet DNN training data needs.
• Develop agentic workflows to identify model data needs, plan mining tasks using data tools and model inference, and refine mining strategies via human review.
• Deploy pipelines as production systems with workflow orchestration, monitoring, and failure recovery.
• Collaborate with MLEs and data analysts to turn recurring data needs into reusable mining capabilities and define acceptance criteria.

Skills

Python

SQL

Data pipelines

Deep learning

LLM/VLM inference

Workflow orchestration

Education

BS or MS in Computer Science, Mathematics or Electrical Engineering, or related field

Tools

APIs

Data platforms

Job description

NVIDIA Corporation in Santa Clara, CA seeks a Senior Machine Learning Data Pipeline Engineer to design and own scalable data pipelines for end-to-end autonomy data. You will build agentic workflows, integrate data infrastructure with LLMs, and deploy reliable production systems with monitoring and failure recovery.

The role requires 5+ years in software/data engineering, strong Python/SQL, and deep learning knowledge related to DNN data preparation.