Responsibility:
1. Design & develop high-quality products using C/ C++.
2. Optimize the inference performance of various DL models (CNN, NLP, ...) using Op Fusion, Graph optimizations etc.,
3. Develop and integrate custom libraries/modules into DL frameworks
4. Analyse, design and develop tests and test-automation suites.
5. Test software development methodology in an agile environment.
6. Collaborate cross-functionally with Senior Engineers, Clients, , and Project Managers to achieve elegant solutions.
7. Provide recommendations for continuous improvement.
8. Work alongside other engineers on the team to elevate technology and consistently apply best practices.
9. Instil best practices for software development and documentation, assure designs meet requirements, and deliver high-quality work on tight schedules.
Qualification:
Must Have:
1. Bachelor of Engineering/ Bachelor of Technology Master of Engineering/ Master of Technology.
2. Very good problem-solving ability. Ability and interest to solve complex problems.
3. Software engineering experience with Coding and Debugging skills in C/C++.
Nice to Have:
1. Framework knowledge (TensorFlow, PyTorch, ONNX) & exposure to DL model architectures
2. Strong DevOps focus and experience building and deploying DL model architectures (Training, pruning, quantization)
3. Experience with test-driven development and automated testing frameworks.
4. Experience with Bash , Shell and Python scripting in Linux.
5. Experience with Multi-threaded and Parallel programming skills like CUDA/HIP.
6. Knowledge of ARM/DSP CPU architectures.
7. Hands-on software development experience on Embedded devices.
8. Experience with Scrum/Agile development methodologies.
9. Capable of delivering on multiple competing priorities with little supervision.
10. Verbal and written communication skills.
11. Experience with infrastructure automation technologies like Docker.
12. Knowledge of Git versioning, CMake, Make and Code management