Candidate is expected to have

Hands-on experience in more than one major programming language (C/ C++ must have)

Experience with code/memory optimizations, concurrency and multi-threading.

Good understanding of parallel algorithm development

Experience of Profiling, Performance tuning and debugging methodologies.

Good communication, documentation, analytical and multitasking skills.

Knowledge of the software development process and the tools

would become highly desirable if he/she has,

experience creating software for any edge AI hardware.

good understanding of CV/ML/DL algorithms or applications.

exposure to or using deep learning frameworks and libraries -TensorFlow, Pytorch, Keras or ONNX

experience with TensorRT or OpenVINO or SNPE or TVM or any custom AI acceleration libraries or exporting standard models to their representation

prior Knowledge or experience working with GPGPU (Cuda or OpenCL)

prior knowledge or exposure to OpenCV, Gstreamer, Docker, Python programming, Shell scripting in Linux, Buildroot and Yocto

Candidates will have opportunity to

Design, implement, optimize and debug software modules that run and deploy DL models in end to end CV/ML/DL applications on a variety of edge AI silicon including from that of NVidia, Intel, Qualcomm. May also have an opportunity to work on optimizing existing code and development of optimized algorithms in the GPGPU environment.

Note : GStreamer is must

Experience : 2 to 6 Years

Location : Hyderabad and Mumbai