Nvidia Software Engineer Intern Autonomous Vehicle - 

China, Guangdong Province, Shenzhen 

299278303

in a focused effort to develop andfind the work is exciting, fun, and meaningful challenging.

creative, autonomous, and love challenges, we would love to hear.

What You'll Be Doing:

• In this role, you will be collaborating with front-end, back-end developers, collaborating with a diverse team of DevOps, IT and security engineers as well as machine learning, deep learning experts. You will be creating human-in-the-loop and management applications at the frontier of what is possible in machine learning today and getting a front seat view of the action in this very hot space from a team and a company driving the progress at the cutting edge.

• Working together with other excellent engineers to build and maintain the next generation services including build workflows, Telemetry, and much more.

• Learn and create valuable features for end users and greatly improve NVIDIA autonomous driving product’s user experience.

• Identify areas to improve service resiliency through industry standard practices.

• Working with NVIDIA global teams to build and maintain the next generation system software for autonomous vehicles fleet including telemetry, cloud services, data processing and much more.

• Exploring different algorithms to generate valuable insights from big data. Python will be your go-to tool for exploring and manipulating big data. You will use Python libraries such as Pandas, NumPy, and Matplotlib to visualize and analyze data, enabling better understanding and decision-making and contributing to the continuous improvement of our autonomous driving solutions.

What We NeedSee:

• Pursuing BS, MS in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Data Science, Mathematics, or a related field.

• Proficiency with programming languages such as Python/Java/Go/C++ and proficiency in software development fundamentals.

• Experience with container-based virtualization (e.g. Docker) and container orchestration (e.g. Kubernetes).

• Excellent communication and teamwork abilities.

Ways To Stand OutCrowd:

• Familiar with at least one major cloud service provider- AWS, GCP, Azure.

• Deep understanding of Linux, and Linux application/services development.

• Familiar with distributed computing, high scalability and availability design, multi-thread, load balance, such as high-performance server architecture.

• In-depth knowledge of Automotive/IoT is a plus.

• Strong problem-solving skills and a passion for learning and staying up to date with the latest trends in software engineering and technologies.