The Impact You'll Make

 Danfoss is hiring a Machine Learning Senior Engineer at our facility in Cambridge, MA.  In this role, you solve complex challenges for off-road autonomous vehicles by developing and deploying state-of-the-art machine-learning models on embedded hardware. 

What You’ll Be Doing 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 and develop software to run models on embedded hardware and communicate with the rest the hardware on a machine. What We're Looking For

•    Master’s degree in Computer Science, Data Science, or Robotics. 
•    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, with LiDAR, RGB cameras and stereo cameras along with fusing data from multiple sensors together, and with data engineering, such as organizing and managing large datasets and using Azure storage; Nvidia Jetpack and Nvidia tool chains such as DeepStream; optimizing and deploying perception models on Nvidia based embedded hardware; and leading a Machine Learning project, including determining project scope, goals, tasks to complete, timeline estimates and delegating/managing tasks completion through others

 

Work conditions:

Full-time, 40 hours per week

Danfoss is an EO employer and VEVRAA Federal Contractor.  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.

 

Location:
Danfoss, One Broadway, Cambridge, MA 02142,

The salary for this position is $141,000 to $146,000 and this is non-negotiable.

 

Direct Inquiries to Meghan Howard, HR. Danfoss Power Solutions (US) Company, One Broadway, Cambridge, MA 02142. MUST APPLY ONLINE AT WWW.DANFOSS.COM

What You'll Get from Us

 

We promote from within and support your learning with mentoring, training, and access to global opportunities. You’ll have flexibility, autonomy, and support to do your best work while maintaining a healthy work-life balance. Your well-being matters to us. We strive to create an inclusive work environment where people of all backgrounds are respected, and valued for who they are. You’ll receive benefits like 13th salary, annual bonus, paid vacation, pension plans, personal insurance, and more. These vary by country and contract, but they’re worth asking about—we think they’re pretty great. Ready to Make a Difference?

 

If this role excites you, we’d love to hear from you! Apply now to start the conversation and learn more about where your career can go with us.

 

 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.