Time since we first saw it
Day 30
Similar jobs usually come down between day 6 and day 55.
At Nvidia, jobs usually come down by about day 39.
From 13,214 similar postings that came down, and 100 of Nvidia’s. Coming down is not always a hire.
MLOps Physical AI Data Intern - 2027
China, Shanghai
Live, first seen by us 30 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
Currently pursuing a BS, MS, or PhD in Computer Science, Software Engineering, Data Engineering, or a related field
What you’ll work on
Full postingContribute to distributed data pipelines for large-scale GT generation
Integrate international vision, LiDAR, map and sensor datasets
Develop GT auto labeling, LLM models and AI agents
Help design tools for monitoring data quality and pipeline progress
Improve platform scalability, performance and workflow automation
From the employer’s posting
Contribute to the development of distributed data pipelines supporting large-scale GT generation
Support the integration of international datasets (vision, LiDAR, map, and sensor)
Develop GT auto labeling, LLM models, and a variety of AI Agents for the global GT generation
Help design tools for monitoring data quality, job status, and progress tracking
Participate in continuous improvement initiatives for platform scalability, performance tuning, and workflow automation
Education & alternatives
What We Need to See: - Currently pursuing a BS, MS, or PhD in Computer Science, Software Engineering, Data Engineering, or a related field. - Solid programming experience with Python and C++.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 12, 202630 days ago
- Recorded sightings
- 75
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Nvidia is hiring
104 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- C++
Where the posting names them
- Currently pursuing a BS, MS, or PhD in Computer Science, Software Engineering, Data Engineering, or a related field. - Solid programming experience with Python and C++. - Good understanding of computer vision, AI agent development, LLM and machine.
Your next step
Complete your application on nvidia.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About Nvidia
- People
- About 42,000 in 2026, up 17% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as NVDA.
- H-1B visas
- 978 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
NVIDIA is building the next generation of AI and advanced data technologies for Physical AI. Our MLOps GT team designs large-scale data infrastructure, LLM models and agents powering Ground Truth (GT) generation, and end-to-end AI workflows for global automotive and robotic partners. We're looking for a motivated MLOps Physical AI Data Intern to help build, scale, and optimize this global data ecosystem while driving strong collaboration across engineering, operations, and research teams.
What You’ll Be Doing:
- Contribute to the development of distributed data pipelines supporting large-scale GT generation and global data distribution.
- Support the integration of international datasets (vision, LiDAR, map, and sensor) for multi-region model development and validation.
- Develop GT auto labeling, LLM models, and a variety of AI Agents for the global GT generation.
- Help design tools for monitoring data quality, job status, and progress tracking within the global GT release pipeline.
- Participate in continuous improvement initiatives for platform scalability, performance tuning, and workflow automation.
What We Need to See:
- Currently pursuing a BS, MS, or PhD in Computer Science, Software Engineering, Data Engineering, or a related field.
- Solid programming experience with Python and C++.
- Good understanding of computer vision, AI agent development, LLM and machine.
- Analytical and problem-solving abilities, with an interest in large-scale AI data ecosystems.
- Good communication and teamwork skills, especially for collaboration across global and multi-disciplinary teams.
Ways to Stand Out from the crowd:
- Proficient in developing AI agents.
- Experience in Physical AI data engineering, or MLOps.
- Prior exposure to autonomous driving data, computer vision, or machine learning pipelines.
- Hands-on experience with Physical AI modeling, GT data processing.
At NVIDIA, interns are integral to real-world projects that push the boundaries of Physical AI. You’ll gain hands-on experience in global-scale data operations, work with exceptional engineers, scientists, and play a role in enabling next-generation autonomous driving systems across the world.
Source details
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- Pay
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- Location & working pattern
China, Shanghai
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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