Danfoss is looking to solve complex challenges for off-road autonomous vehicles by developing and deploying state-of-the-art machine-learning models on embedded hardware.
Requirements
- 4 years experience coding in C++ and/or Python and with Computer Vision and Machine Learning frameworks such as OpenCV, TensorFlow, PyTorch
- 2 years experience with ROS/ROS2
- 2 years experience with LiDAR, RGB cameras and stereo cameras along with fusing data from multiple sensors together
- 2 years experience with data engineering, such as organizing and managing large datasets and using Azure storage
- 2 years experience with Nvidia Jetpack and Nvidia tool chains such as DeepStream
- 2 years experience optimizing and deploying perception models on Nvidia based embedded hardware
- 2 years experience leading a Machine Learning project, including determining project scope, goals, tasks to complete, timeline estimates and delegating/managing tasks completion through others
Responsibilities
- Lead and contribute to projects throughout the whole development cycle
- Derive machine learning and data requirements
- Work with large datasets to develop, train, and test machine learning models
- Optimize models for embedded hardware
- Develop software to run models on embedded hardware and communicate with the rest the hardware on a machine
Other
- Master’s degree in Computer Science, Data Science, or Robotics.
- Full-time, 40 hours per week
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected category.
- The salary for this position is $141,000 to $146,000 and this is non-negotiable.
- MUST APPLY ONLINE AT WWW.DANFOSS.COM
