Machine Learning Engineer (C++ & CUDA)

Company Overview: Dedrone is the world’s most trusted smart airspace security company. Hundreds of commercial, government and military customers around the world rely on Dedrone’s comprehensive, command and control (C2) solution to protect against the persistent and escalating threat from drones while enabling “good” drones to fly. By leveraging AI/ML, Dedrone is the only solution that provides continuous, autonomous interrogation and verification of drones that enables both multi-sensor and multi-mitigation options onto a single fused "pane-of-glass". Whether on-premise / air-gapped or in the cloud, Dedrone customers can easily detect, track, identify, analyze, and mitigate drone threats.
 
You will work alongside experts in the field to develop cutting-edge algorithms for airspace security. You will work on advanced visual target tracking software. In order to do this you will write and optimize Python code for the development of complex algorithms that serve customers worldwide. To stay ahead of innovation, you will collaborate with academic partners and industry experts to develop efficient, integrated features.

You will… 

• Use your proficiency in Python along with a good understanding of OOP design patterns, data structures, and high-performance computing principles to create and deploy computer vision tracking algorithms on the edge
• Get experience in working with academic and industry partners in a collaborative and international environment.
• Use proactive problem-solving skills and constantly learn and resolve problems in a team environment

You have…

• Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a related field. 
• Experience deploying computer vision algorithms like YOLO and RCNN
• 5 years of experience with Python programming language and object-oriented design methods expertise.
• Some experience using epoll, Unix domain sockets, and segmented share memory 
• Experience programming in Python to solve machine learning problems
• Some basic familiarity with tracking algorithms, such as Kalman filter, particle filter, and data association. 

At Dedrone, we believe that great ideas come from anywhere. We support a collaborative environment and value open participation from individuals with different ideas, experiences, and perspectives. We believe having a diverse team makes Dedrone a more interesting and innovative place to work, and we strive to make Dedrone a welcoming and inclusive place for all.