NVIDIA · nvidia.wd5.myworkdayjobs.com · checked today
Senior Machine Learning Data Pipeline Engineer
We are hiring a Senior Machine Learning Data Pipeline Engineer to invent and build the next generation of data pipelines for end-to-end autonomous driving foundation models. You will develop scalable pipelines and agentic workflows that help DNN teams proactively identify data gaps and efficiently discover, prepare, and deliver the right training data. You will convert model limitations and data needs into reusable engineering solutions, integrating data infrastructure with LLMs, vision-language models, and retrieval techniques to automate data solutions.
Skills, with evidence
- Python
Strong Python and SQL skills, shown through production services, APIs, or data pipelines.
must have - SQL
Strong Python and SQL skills, shown through production services, APIs, or data pipelines.
must have - Airflow / orchestration
Deploy and operate these pipelines and workflows as reliable production systems, with workflow orchestration, monitoring, and failure recovery.
must have - Data quality
Hands-on development of data solutions and optimization, including diagnosing DNN model performance and reliability issues.
must have - Failure handling
Deploy and operate these pipelines and workflows as reliable production systems, with workflow orchestration, monitoring, and failure recovery.
- Machine learning
We are hiring a Senior Machine Learning Data Pipeline Engineer to invent and build the next generation of data pipelines for end-to-end autonomous driving foundation models.
not practised here
Your plan
- The SQL screen: correct, then fast≈ 2 h
SQL · Data quality
- Median delivery time per cityIntermediate
- Bucket deliveries into quartilesIntermediate
- Median order value without a median functionIntermediate
- New and repeat orders by monthIntermediate
- Every order against its customer's averageIntermediate
- Python: the data-wrangling round≈ 3 h
Python
- Diff two snapshots of a tableIntermediate
- Explode an array column into rowsIntermediate
- Flatten nested event payloadsIntermediate
- Keep only the latest row for each eventIntermediate
- Pivot a long metrics table to wideIntermediate
- Pipeline design: safe to run twice≈ 4 h
Airflow / orchestration · Failure handling
- Is this change safe?Intermediate
- Marketplace transactions at scaleIntermediate
- The source will not let youIntermediate
- Changing a pipeline that’s already runningIntermediate
- SLA-aware alerting flowIntermediate
- Say it out loud≈ 1 h
Not covered by the plan: Machine learning.
Readiness
Counted from drills you have completed anywhere on D8LooP.
leaves in 12 dremoved the moment NVIDIA closes it