Used Tools & Technologies
GenAIRequired Skills & Competences
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.
Docker @ 3
Kubernetes @ 3
Python @ 3
Java @ 3
Algorithms @ 3
Machine Learning @ 6
AWS @ 3
QA @ 3
GPU @ 3
Deep Learning @ 3
Generative AI @ 3
AI @ 3
Computer Vision @ 3
Data Visualization @ 6
Robotics @ 3
Data Pipelines @ 3
- 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.
Details
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
We are looking for a software engineer intern with a strong passion in the self-driving car industry and interests/experiences in mapping, machine learning, and 3D data visualization. The map team is focused on building globally scaled HD mapping solutions, providing survey-level HD Mapping and Localization services for the NVIDIA DRIVE® platform, and collaborating closely with perception, infrastructure, and simulation teams across AV projects.
Responsibilities
- Work closely with senior engineers and learn about the tech stack to build high quality, high definition maps in a scalable way.
- Build automation algorithms, data pipelines, and visualization tools to improve map building quality/efficiency and support new mapping features.
- Explore new ideas to combine state-of-the-art generative AI technologies and mapping datasets to tackle problems in map building, map QA, and simulation.
- Engage with various map data consumers (perception, infrastructure, simulation) in AV and NVIDIA.
Requirements
- Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related majors.
- Excellent programming skills in Python, C++, or Java.
- Previous experience or coursework in robotics, automotive, or artificial intelligence.
Ways To Stand Out
- Experience with cloud pipelines & infrastructure, including Kubernetes, Docker, and AWS.
- Experience in AV-related areas: Self-Driving Cars, Deep Learning, Computer Vision, SLAM, Sensor Fusion, and/or GPU technology.
Compensation & Benefits
- Internship hourly rate: 20 USD - 71 USD per hour (hourly rates vary by position, location, year in school, degree, and experience).
- Eligible for intern benefits (see https://www.nvidia.com/en-us/benefits/interns/).
Additional Information
- Applications for this job will be accepted at least until June 9, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.