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# Senior Software Engineer, ML Loop

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $95,680.0 - $101,920.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Data Centers, Data Mining, Machine Learning, DataOps, Software Engineering, Information Technology, Data Delivery
- **Published:** October 3, 2026
- **Apply:** https://www.jofdav.com/jobs/59968085-senior-software-engineer-ml-loop

## About the Role

* Deep understanding of AV data format and data content, including sensors and log information. Proficient in using visualization and mining tools related to these data.
 * Understand data closed-loop methodology for improving model performance and hands-on experience with large scale data operation to practise such methodology.
 * Proficiency with modern data technology stacks, have solid foundations in statistics and machine learning fields.
 * Excellent communication skills and a collaborative, team-focused approach.
 * Bachelor's degree in Computer Science or related field, or equivalent experience, with 8+ years in relevant industry or research roles.

Ways to Stand Out from the crowd:

 * Industry experience in autonomous driving data operations, including data collection, data mining and data delivery.
 * Industry experience practising data closed loop with production vehicles.
 * Operational expertise in balancing cost-effectiveness, engineering quality, and time-to-market demands.
 * Demonstrated success in implementing solutions in high-stakes, ambitious environments.

## Description

* Design and lead cloud and in-car data mining strategy and operations, provide strong support to corner case identification, data delivery and case resolution for perception and E2E models.
 * Leverage AI and build software technology to accelerate in-car mining speed and quality. Work with the platform team to make sure in-car modules provide sufficient capability to support data collection needs.
 * Design and implement operational processes using data analysis, big data and software techniques to ensure data collected via collection and production vehicles are of high quality for model training.