ML Validation and Automation Engineer

General Summary:

As a hands-on ML Validation and Automation Engineer, you will be responsible fortestAutomation and improving efficiency of and approach to benchmark Qualcomm AI Accelerator.

Basic Qualifications:
Bachelors 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:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

You may e-mail or call Qualcomm's toll-free number found .