NVIDIA is hiring a Senior Computer Vision Software Engineer to help develop its world-class AI Infrastructure and leading-edge software on NVIDIA's high-performance DRIVE platform for Autonomous Vehicles. The role focuses on building a high-efficient end-to-end data pipeline for ground truth production to satisfy the needs of various AV teams and achieve high quality and reliability in NVIDIA Drive products.
Key responsibilities include:
- Designing, implementing, and maintaining software modules and workflows for signal processing and computer vision in a distributed environment
- Automating and accelerating ground truth generation with optimized data quality
- Performing automated data analytics and curation for various AV use cases
- Optimizing algorithm and system performance, pipeline efficiency, and throughput
The ideal candidate should have:
- MS or PhD degree, preferably in Computer Science, Computer Engineering, or Electrical Engineering
- 3+ years of work experience
- Solid software design and programming skills in Python, C++, or similar languages under Linux environment
- Excellent knowledge of Computer Vision, with 3D vision being a big bonus
- Prior working experience in areas such as Autonomous Driving, Robotics, SLAM, GPU technology, Deep Learning, or 3D-Gaming
- Familiarity with AV perception, knowledge of object detection/tracking, multi-sensor fusion, and time synchronization
- Fluency in both oral and written English
Additional desirable skills include:
- Experience in developing system software in a cloud and distributed environment for processing large-scale data efficiently
- Hands-on experience with large data exploration, analysis, mining, and visualization
- Experience with OpenCV/OpenGL/CUDA programming
- Standalone project experience with 10k+ lines of code, game, application, or vision-related projects
- Deep understanding of system architecture, CPU/GPU/Memory/Storage, and performance optimization
NVIDIA offers the opportunity to work with some of the most brilliant and talented people in the world, making important contributions to AV products that will have a huge impact on cars worldwide.