NVIDIA is developing AV software to power L2-4 autonomy in consumer vehicles, and as part of that effort, mapping software is one of the most essential components in the ecosystem. SD/HD maps are required to provide crucial information for driving, and they increase safety via redundant systems. Building large-scale maps at low cost is still a big challenge for the whole industry. It requires super-efficient infrastructures that can run pipelines to process petabytes of raw data from various sensors, such as LiDAR, Radar, cameras, GPS, IMU etc. We need a variety of talents to help us build the most cost effective map engine which builds fresh and complete maps all over the world to supercharge the development of self-driving vehicles. In this role, you will work alongside leaders in the industry to build a reliable, scalable and efficient map infrastructure. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

What You'll Be Doing:

NVIDIA has an industry-leading map engine to build SD/HD maps daily from tons of data. Stability and traceability of the map making pipeline are essential for us to deliver maps in time. In this internship, you will

Build easy-to-use pipelines and tools to boost the efficiency of map making.

Build services to collect and query millions of historical events.

Build better tools to debug tricky issues.

Collaborate with other teams to improve the traceability of the pipeline.

What we need to see:

Pursuing Bachelor degree or above in computer science, software engineering.

Excellent knowledge on data structures, algorithms and operating systems.

Strong programming skills in one or more of Python, Go, Java or C++ with robust and efficient code.

Familiar with both relational and non-relational databases.

Strong communication and teamwork skills.

Outstanding problem solving skills.

Ways to stand out from the crowd:

Background in software development based on AWS, Tencent cloud or other cloud providers.

Experience in Kubernetes.

Experience in Hadoop, HBase, or Flink.