The Media Analytics Department at NEC Labs America solves fundamental challenges in computer vision, with a focus on understanding and interaction in 3D scenes, foundational vision-language models, robust learning across domains and responsible AI. We publish extensively at top-tier venues, for example, nearly 40 papers at CVPR, ICCV, ECCV and NeurIPS in the past four years. As a leader in the development of computing and communication solutions for over 100 years, NEC Corporation deploys our research in enterprise solutions that shape the future of smart cities, transportation, workspaces, industry, healthcare and interaction. We are located in San Jose, with competitive pay and benefits. To check out our latest work, please visit: https://www.nec-labs.com/research/media-analytics/
We are seeking research engineers with skills and experience in developing various parts of the autonomy stack (sensors, perception, navigation, planning, control, or simulation). This unique position offers the opportunity to work closely with our research team to transform breakthrough ideas into practice. Besides helping build an innovative autonomous driving solution from the ground up, the position offers the opportunity to publish at top-tier venues such as CVPR or ICCV.
Position Responsibilities:
• Develop training and inference methods for large-scale computer vision
• Achieve accuracy and reliability to deploy models in real-world products
• Develop demonstrations that showcase applications of cutting-edge research
• Conduct technology transfers between research and product teams
• Communicate requirements and analysis to research and engineering teams
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• Skills in one or more of calibration, perception, prediction, or planning for autonomy
• Experience in training, deploying and evaluating state-of-the-art in computer vision
• Familiarity with deep learning frameworks such as Pytorch or Tensorflow
• Development experience with ROS or OpenCV
Desirable Skills:
• Development experience in C, C++
• Proficiency in version control systems
• Familiarity with graphics and visualization tools
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