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Nvidia Senior Software Engineer - AV Infrastructure Data Ingestion 
United States, Texas 
396139087

Yesterday
US, CA, Santa Clara
US, CA, Remote
time type
Full time
posted on
Posted 6 Days Ago
job requisition id

What you’ll be doing:

  • Enhance and scale our data ingestion pipelines to ensure a continuous and reliable flow of AV data into the system.

  • Monitor data pipelines and services to ensure data availability and reliability.

  • Collaborate with multi-functional teams to improve data processing efficiency, reduce latency, and enhance overall system performance.

  • Implement validation and data quality checks to ensure the integrity and accuracy of ingested data.

  • Work closely with the AV development team to understand data requirements and contribute to the enhancement of data-driven solutions.

What We Need to See:

  • BS, MS, or PhD in Computer Science, Computer Engineering, or relevant field (or equivalent experience).

  • 8+ years of relevant professional experience working with data ingestion pipelines.

  • Proficiency in Golang, GRPC and distributed systems, monitoring and tracing.

  • Hands-on experience with temporal workflows.

  • Strong understanding of computer science principles and data science.

  • Proven track record of designing resilient, fault-tolerant distributed services that handle petabyte-scale data.

  • Demonstrated ability to drive cross-team initiatives and improve engineering efficiency through tooling or automation.

  • You take pride in your work, strive to achieve incredible results, and possess excellent communication and planning skills.

Ways to Stand Out from the crowd:

  • Hands-on experience with large-scale data ingestion systems, particularly in autonomous vehicle or high-throughput environments.

  • Strong contributions to open-source projects in Golang, Temporal, or related distributed systems.

  • Familiarity with data quality frameworks, anomaly detection, or advancedmonitoring/observabilitytechniques.

You will also be eligible for equity and .