General Summary:
As a hands-on ML Validation and Automation Engineer, you will be responsible fortest /Automation and improving efficiency of and approach to benchmark Qualcomm AI Accelerator.
Basic Qualifications:
• Bachelor’s degree in computer science or related field experience
• 2+ years relevant work experience
• Hands on experience in Python (mandatory), Shell
Preferred Qualifications:
• Excellent programming skills in one or more programming languages (Python, Bash, C++)
• Hands-on experience in API testing & developing automation scripts for Embedded/IOT Platforms
• Hands-on experience in benchmarking and optimizing Deep Learning Models on AI Accelerators/GPUs
• Familiarity with AI frameworks models performance, quantization, and accuracy metrics
• Experience with ML frameworks such as PyTorch, Caffe2, Tensor flow etc and HW accelerators
Responsibilities:
• Understanding how all elements of the ML software ecosystem work together and developing QA approaches/frameworks that fit the overall strategy.
• Responsible for development of validation strategies and creation of appropriate ML test harnesses for AI Inference Accelerator Cards
• Performance and Accuracy benchmarking of Deep Learning models (LLM,OD, CV, NLP, Transformers etc.)
• Ensure ML features are planned, validated, and automated as per release and customer requirements.
• Development and execution of test plans, monitoring and reporting on test execution and quality metrics. Debug feature and unit/system level defects
• Strong hands-on automation skills to enable onboarding of automated features into the test framework.
Minimum Qualifications:
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