Senior Software Engineer, ML Loop

at Nvidia

📍 Santa Clara, United States

USD 168,000-270,200 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Communication @ 6 Data Analysis Machine Learning @ 6 Statistics @ 6

Details

NVIDIA is developing technologies for accelerated computing and AI. This role supports the future of autonomous vehicles by contributing to the data flywheel operation for perception and end-to-end models.

Responsibilities

Design and lead cloud and in-car data mining strategy and operations.
Support corner-case identification, data delivery, and case resolution for perception and end-to-end models.
Leverage AI and build software technology to accelerate in-car mining speed and quality.
Work with the platform team to ensure in-car modules provide sufficient capabilities to support data collection needs.
Design and implement operational processes using data analysis, big data, and software techniques to ensure data collected from collection and production vehicles is high quality for model training.

Requirements

Deep understanding of autonomous vehicle data formats and content, including sensor and log information.
Proficiency with visualization and mining tools related to autonomous vehicle data.
Understanding of data closed-loop methodology for improving model performance.
Hands-on experience with large-scale data operations.
Proficiency with modern data technology stacks.
Solid foundations in statistics and machine learning.
Excellent communication skills and a collaborative, team-focused approach.
Bachelor's degree in Computer Science or a related field, or equivalent experience.
8+ years of experience in relevant industry or research roles.

Preferred Qualifications

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