Job Location: Bangalore/Bengaluru
Lead AI SW Solution Engineer / Senior AI SW Solution Engineer
Top2 Semiconductor Organization in the world
Location : Bangalore
Our AI group focuses on developing disruptive solutions that will shape the future of AI and Deep Learning computing. Led by top technologists and successful entrepreneurs, our vision is to take AI processing from its current limits to the peak of its potential.
We see challenges as a tremendous opportunity, we are focused on execution and determined to make our vision come true. We are looking for exceptionally smart people who believe that AI will change the world and would like to join our exciting journey.
We are looking for engineers passionate to work in Deep Learning and Optimize solutions on TensorFlow and PyTorch
Qualifications:
Bachelors / Masters Degree in Computer Science, Electronics Engineering, Mathematics, or related field of study with 8-15 years of relevant experience.
Experience with TensorFlow and / or PyTorch Test Suits, Model Zoo, MLPerf benchmarking, Graph compilation and Optimizations, Randomization Strategies etc.
Building, Training, and optimizing ML/DL/AI models on TensorFlow, PyTorch and / or MxNet specially optimization experience.
Strong experience in DL with Python, NumPy, Scikit, Pandas, PyTest and / or Google Test framework.
Strong C++ programming skills -C++11, STL
Solid development experience -git, cmake, gdb, strace, shell, etc. in Unix-like Linux environment. The candidate must be able to identify and debug system issues.
Experience with the Agile / Scrum processes through the entire SDLC: software design, coding, unit test, integration test, build and release
Problem-solving skills and a can-do attitude are the key in this role
Experience in working closely with development, QA and DevOps teams
Fluent English writer/speaker
Will be an additional advantage
Background in Computer Vision, image and / or video processing
Understanding of image processing and computer vision, Video Decoders, Gstreamer, DSP programming and pipelining.
Experience in areas such as concurrent and parallel programming, heterogeneous computing, or low-level optimizations
Contact: Uday Bhaskar
Mulya Technologies
“Mining the Knowledge Community”
Email id : muday_bhaskar@yahoo.com
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