Job Information
Arrow Electronics Solution Engineer ( Level 1) in Noida, India
Position:
Solution Engineer ( Level 1)
Job Description:
- Job Description
Qualifications needed
• B.E./B.Tech. in Computer Science or Electrical and electronics or any equivalent degree
• 4 - 7 years of work-related experience in Deep learning and Computer vision is necessary.
• Strong programming skills in Python, C++, Java etc.
• Strong fundamentals on Deep learning, machine learning, Computer vision and image processing concepts.
• Strong fundamentals on various DL models like object detection, pose estimation, image segmentation, GAN's etc.
• Experience in working with Deep learning frameworks like Tensorflow, keras, Caffe and Pytorch.
• Experience in working on GPU acceleration using CUDA, OpenCL
Experience programming for raspberry pi, NVIDIA Jetson, Qualcomm Snapdragon, IMX8, Google Coral, or similar SOC's.
• Experience with designing, building, and optimizing data and model training pipelines.
• Experience in working with Docker, Kubernetes, Deep Stream, Flask, Django, etc.
- Academic publications in computer vision research at top conferences and journals.
• Strong problem-solving skills with excellent written, verbal and presentation skills.
Work responsibilities
Work in a team of 2 to 3 members in developing and deploying AI model pipelines.
Create innovative AI models or modify existing AI models to provide optimum throughput and accuracy on edge devices
Deploy and benchmark the models on edge devices like Nvidia Jetson Nano, Jetson Xavier, Snapdragon 835 etc.
To work on platforms like Snapdragon Neural processing Engine (SNPE), FastCV, Halide, Deep stream etc. as per requirement.
Location:
IN-UP-Noida, India-World Trade Tower (eInfochips)
Time Type:
Full time
Job Category:
Engineering Services
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.