Experience: 10+ years
Qualification: Bachelor’s or Master’s Degree in Computer Science Engineering or related field
Roles and Responsibilities:
Lead the architecture, design, implementation, and testing of deep learning software stack components.
Conduct performance tuning and optimization to achieve industry-best performance.
Provide technical leadership to teams involved in implementing and testing software stack components.
Identify technical limitations, propose strategic solutions, and oversee their implementation.
Ensure the productivity of the reporting team and act as a hands-on technical champion driving technical evolution.
Skills:
Strong hands-on experience in C++/Python software development in a Linux environment.
Proficient in data structures and algorithms.
Experience in leading small teams technically.
Familiarity with AI/ML/DL frameworks such as PyTorch, Tensorflow, etc.
Expertise in building and packaging software with Make, CMake, Bazel.
Knowledge of GIT and Gerrit.
Customer-focused with attention to detail.
Ability to identify training needs, multitask effectively, and exhibit computer competencies.
Passionate problem solver with the ability to write efficient code.
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