Nvidia Senior System Software Engineer Mapping - Autonomous Vehicles 

United States, California 

98466467

What you'll be doing:

• Building software for autonomous mobile platforms, and backend data processing pipelines to do the following:

• Creating software to efficiently access and visualize 2D Navigational Map, 2D aerial images, or 3D semantic HDMaps to create enriched 2D/3D maps for training data of autonomous vehicle perception model training, and in-vehicle driving stack.

• Provide real-time and off-line data analysis tools of autonomous vehicle sensor data (e.g. lidar/camera/radar) to ensure sensor data integrity before map creation and map consumption.

• Analyze the spatial and temporal properties of ground truth location and other vehicle sensor data to ensure successful map creation.

• Building tools to efficiently store and upload large amounts of sensor and 3rd party map data for map creation, or update.

What we need to see:

• 5+ years of working experience.

• BS, MS, or PhD in Computer Science or related field or equivalent experience.

• Fluent in C/C++, familiar with Python is a plus.

• Solid understanding of computer architecture, operating systems, computer networking principles andmulti-threaded/multi-processprogramming

• Understanding of how to write performant software (with efficientmemory/cpu/gpu/inter-processor-networkutilization)

• Well versed in algorithms (e.g. graph theory, combinatorial & discrete algorithms), data structures and basic statistics.

• Ability to drive a project from conception to completion and deliver to internal or external customers.

• Experience in using a disciplined approach to software engineering (requirements analysis, design doc, unit testing and integration testing and benchmarking) to drive development of scalable software products.

Ways to stand out from the crowd:

• Background with computer vision, computational geometry, robotics, and machine learning algorithms.

• Experience with state-of-the-art autonomous vehicle or robotics sensors (e.g. camera, lidar, radar, GPS)

• Background with runtime optimization on Linux/Unix-like real-time operation systems; Experience with edge computing platforms (e.g. automotive)

• Experience in data analysis and visualization in Python or other Javascript libraries, or etc, is a plus