Nvidia Software Engineer Perception - Autonomous Vehicles 

South Korea, Seoul 

518319262

What You'll Be Doing:

• Development: Perception development with application focus on highway driving, urban driving, and parking. Types of signals will include dynamic/static objects, traffic signs/lights, lanes, road markers, parking spots and nearby structures. Deep learning solutions and intelligent algorithm designs will be jointly used to develop the best in-class solutions.

• Exploration: Research and develop innovative deep learning and sensor fusion algorithms to improve output accuracy of various perception solutions under challenging and diverse scenarios.

• Analysis and Experimentation: Identify and analyze the strength and weakness of the developed perception solutions using large scale benchmark data (both real and synthetic) and improve them iteratively through meaningful metric building and optimization.

• Productization: Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness, especially for successful autonomous driving in Korea.

• Data-driven Improvement: Drive and prioritize data-driven developments by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization, planning, and labeling prioritization, so that value of data is maximized.

What We Need To See:

• BS/MS/PhD in CS, EE, science or related fields (or equivalent experience)

• 3+ years of hands-on work experience in developing deep learning and algorithms to solve complex real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).

• Experience in data-driven development and collaboration with data and ground truth teams.

• Strong programming skills in python and/or C++.

• Outstanding communication and collaboration skills as we work as a tightly-knit team, always discussing and learning from each other.

Ways To Stand Out From The Crowd:

• Development Experience in autonomous vehicles : Proven expertise in developing perception solutions for autonomous driving using deep learning and experience on diverse sensor modalities such as cameras, ultrasonics, and radar.

• Research Experience: Relevant publications related to perception tasks for autonomous driving, general computer vision and machine learning in leadingconferences/journals.

• Advanced Model Knowledge: Experience in working with sophisticated visual recognition models, especially models for 2d/3d object detection and classifications. Familiarity with bird's eye view perception solutions and techniques, and familiarity with common toolkits and libraries (e.g., MMDetection3D).

• Ability to communicate in Korean and English fluently.