Foundational Data Engineer
Tasks
- Acquire and evaluate hardware verification datasets
- Build external replicas of customer environments without exposing IP
- Build synthetic training data pipelines
- Curate golden reference examples
- Define quality rubrics with verification engineers
- Generate verification artifacts including SystemVerilog assertions
- Handle redaction and IP constraints
- Lead data team and manage engineers
- Maintain data catalogs with provenance and lineage
- Manage customer data access and compliance
- Monitor data quality and coverage regressions
- Negotiate customer partnerships for on prem and federated access
- Operate ingestion pipelines and data versioning
- Own data flywheel from agent runs
Perks/Benefits
- N/A
Skills/Tech-stack
Data Engineering | Data Lineage | Data Pipelines | Data Quality | Data Versioning | Data acquisition | Dataset curation | Knowledge Distillation | Machine Learning | Python | Rejection Sampling | Synthetic data | SystemVerilog | UVM | Verilog
Education
N/A
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