NVIDIA · nvidia.wd5.myworkdayjobs.com · checked today
Senior Physical AI Data Engineer
Skills, with evidence
- Python
Strong programming skills in Python and C++, with experience designing maintainable, well-tested software and troubleshooting complex production systems.
must have - Data quality
Build observability and data quality frameworks covering pipeline health, job execution, labeling quality, data lineage, and GT release readiness.
must have - Machine learning
A solid understanding of computer vision, machine learning, VLMs, and AI agent development, including evaluation and production integration.
must have · not practised here - Data modelling
Experience building reliable data pipelines with data validation, versioning, lineage, and monitoring.
must have - Governance & security
Build observability and data quality frameworks covering pipeline health, job execution, labeling quality, data lineage, and GT release readiness.
not practised here - AWS
Experience delivering multi-region data platforms with access controls, data governance, and regional data-handling requirements.
not practised here - Cost & performance
Optimize distributed processing and GPU inference workloads to improve throughput, resource utilization, cost efficiency, and release turnaround time.
- Failure handling
Experience building reliable data pipelines with data validation, versioning, lineage, and monitoring.
Your plan
- SQL
drills at the Senior level
- Python
drills at the Senior level
- Modelling
drills at the Senior level
- Pipelines
drills at the Senior level
- Spark
drills at the Senior level
The full plan, drill by drill, is on the job page.
leaves in 13 dremoved the moment NVIDIA closes it