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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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As a Senior Software Engineer, Data Platform, you will join the NVIDIA Operations organization as a System Data Architect to build data platforms and tools for reporting and analytics. You will lead initiatives to identify data strategies, develop in-house tool suites from the ground up, and process logs into custom visualizations for large-scale analysis. Your daily work involves building and optimizing self-serve ETL frameworks, streaming pipelines, and framework modules to extract, validate, and transform data from various source systems into a Data Lake. You will manage tools used specifically in the testing of semiconductor chips, boards, systems, and servers. Key technical requirements include Python, Spark, SQL, AWS, Kubernetes, Docker, Terraform, and experience with Parquet or Protobuf. You will also handle semi-structured log parsing and integrate SAP systems to support AI and machine learning platforms.
What does a Software Engineer earn in California?
Median $214000 from 763 postings across 66 companies.
Python
Go
Java
SQL
Spark
Kafka
Airflow
Cloud Data Warehouses
Data Lakes
Data Pipelines
Microservices
Data Security
Data Observability
Caching
Key/Value Stores
Columnar Storage
Query Federation