Senior C++/Python Engineer
Santa Clara, CA, United States
Senior C++/Python Software Engineer (Full-time)
Location: Santa Clara, CA (Hybrid, 1-day a week onsite, 4 days remote)
Our client is looking to fill the role of Senior C++/Python Software Engineer. This role will be hybrid and based out of the Santa Clara office.
Responsibilities: Developing and Building software programs end to end to production.
Training, and deploying deep learning models for a variety of DNN tasks.
Optimizing and compiling models for different runtime agents including OpenVino, ONNX runtime, TensorRT, TFLite runtime, and HW.
Work with open-source custom models and datasets, and port open-source models to our supported runtimes.
Benchmarking the ported models on different runtimes and writing quality assurance code for maintenance.
Document and maintain all the developed models.
Training and deploying deep learning models for a variety of DNN tasks.
Optimizing and compiling models for different runtime agents including OpenVino, ONNX runtime, TensorRT, TFLite runtime, and our HW.
Work with open-source custom models and datasets, and port open-source models to supported runtimes.
Benchmarking the ported models on different runtimes and writing quality assurance code for maintenance.
Document and maintain all the developed models.
Minimum Qualifications Bachelors degree or equivalent practical experience.
At least 2 -3 years experience in software development in C++ and/or Python
Experience with software development and debugging in Python and or C++
Experience in shipping production software.
Experience in End-to-End development.
Experience with Git
Experience in ML development: (a) training networks locally/on cloud and/or (b) deploying models in the production environment.
Experience with Pytorch
Experience with applied machine learning.
Ability to write ML model definitions and training loops.
Familiarity with common computer vision datasets and how to use them.
Bonus Qualifications: Familiarity with machine learning hardware optimization methods such as quantization and pruning.
Familiarity with TFLite, ONNX or Torch Script
Familiarity with Runtime agents like OpenVINO, TensorRT, TFlite runtime
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