TG没有崛起大国风范啊# Joke - 肚皮舞运动
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Software Engineer –Computer Vision - (Autonomous Systems)– SF bay area CA
Intern/ Part-time/Full-time
Responsibilities:
Contribute to the development of state-of-the-art algorithms for depth-
sensing, visual odometry, SLAM, and camera calibration. You'll be working
closely with our world class Sensor Fusion experts and directly impacting
the next generation of self-driving vehicles and UAVs.
Qualifications:
- Masters or PhD Computer Science, Electrical Engineering or both.
- Deep Experience in visual odometry and classical computer vision
algorithms
- Expert knowledge in computational geometry
- Experience in machine learning, feature detection and classification
- Experience with open source computer vision and linear algebra frameworks
- A solid background in statistics, probability and linear algebra
- Experience with real world datasets
- Experience with real time algorithm implementation
- Ability to work independently without direct supervision
Preferred:
- Experience with CV algorithm packages (Eigen, OpenCV, etc.)
- Knowledge of Deep learning techniques applied to CV
- Experience in Linux based environments
- Experience in SLAM and/or motion planning
- Experience with CUDA, OpenCL or other GPU frameworks
- Experience with automotive systems or UAV systems
- Ability to lead a small technical team that balances research and
application
About the Company:
The hiring company is a small, Pre-A stage startup in Silicon Valley. They
are developing hardware and software solutions for autonomous systems
include cars, UAVs, and robots. The company is backed by major venture
capitals and just received funds for mass production of their products.
Support H1B and Green card application.
Software Engineer –Computer Vision - (Autonomous Systems)– SF bay area CA
Intern/ Part-time/Full-time
Responsibilities:
Contribute to the development of state-of-the-art algorithms for depth-
sensing, visual odometry, SLAM, and camera calibration. You'll be working
closely with our world class Sensor Fusion experts and directly impacting
the next generation of self-driving vehicles and UAVs.
Qualifications:
- Masters or PhD Computer Science, Electrical Engineering or both.
- Deep Experience in visual odometry and classical computer vision
algorithms
- Expert knowledge in computational geometry
- Experience in machine learning, feature detection and classification
- Experience with open source computer vision and linear algebra frameworks
- A solid background in statistics, probability and linear algebra
- Experience with real world datasets
- Experience with real time algorithm implementation
- Ability to work independently without direct supervision
Preferred:
- Experience with CV algorithm packages (Eigen, OpenCV, etc.)
- Knowledge of Deep learning techniques applied to CV
- Experience in Linux based environments
- Experience in SLAM and/or motion planning
- Experience with CUDA, OpenCL or other GPU frameworks
- Experience with automotive systems or UAV systems
- Ability to lead a small technical team that balances research and
application
About the Company:
The hiring company is a small, Pre-A stage startup in Silicon Valley. They
are developing hardware and software solutions for autonomous systems
include cars, UAVs, and robots. The company is backed by major venture
capitals and just received funds for mass production of their products.
Support H1B and Green card application.
