Roles and ResponsibilitiesJob Area:
Engineering Group, Engineering Group > Systems EngineeringGeneral Summary:
The job responsibilities may include a subset of the following:
Research and develop power-efficient computer vision algorithms, deep learning architectures and models in computer vision for AI-enabled camera, video, AR/VR products
Developing or Optimizing image processing and computer vision algorithms for HW acceleration
Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking.
Bachelors + 2yrs relevant experience, Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field
Background in digital image processing and computer vision fundamentals
Working knowledge with OpenCV and vision algorithms (feature detection/description and matching)
Experience in XR/AR/VR perception and/or automotive perception is desired
Strong knowledge in data structures and working experience with C/C++ programming
Experience developing practical deep learning algorithms using PyTorch, TensorFlow
Academic publications in computer vision research at top conferences and journals
Required: Bachelor’s in Computer science or Electrical & Computer Engineering
Preferred: Master’s or PhD in Computer science or Electrical & Computer Engineering
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Role:Embedded Hardware Engineer
Salary: Not Disclosed by Recruiter
Functional Area:Engineering - Hardware & Networks
Employment Type:Full Time, Permanent
Magna HR Consultants India Pvt Limited