Company:Qualcomm India Private Limited

Job Area:Engineering Group, Engineering Group > Systems Engineering

General Summary:

As a hands-on ML Test and Automation Engineer, you will be responsible for improving efficiency and approach to testing. Working backwards from customer needs, you will identify the right sets of tools to build to achieve the best quality and customer experience. You will participate and lead test automation efforts for critical and complex project requirements. You will be responsible for driving improvements in test tools, test environments and reporting mechanisms as well as influence the implementation of the right solutions.

As a member of the Test engineering team, you will own the vision for test infrastructures, build automation frameworks that allow developers to easily write reliable tests, and invent new mechanisms for ensuring that every change we make can be deployed safely and quickly.

The ideal candidate for this role has a strong track record and proficiency in building efficient and innovative test tools. A logical problem-solver with good judgment who brings an experienced perspective to balance quality and strategy trade-offs to meet the needs of the AI Inferencing Team

They have specialized knowledge analyzing test procedures, inspecting architectures, and developing test infrastructure and tools that provide high confidence in product quality.

Responsibilities:

Understanding of the ML software ecosystem and QA approaches/frameworksStrong fundamentals of Deep learning, transformer architecture, industry-grade LLM serving KPIsResponsible for development of test strategies and ML test harnesses for AI Inference AcceleratorsCreate automated test infra to for engineering teams to test and deliver key featuresEnsure ML features are planned, validated, and automated as per release and customer requirementsDevelopment and execution of test plans, monitoring and reporting on test execution and quality metrics. Debug feature and unit/system level defectsStrong hands-on automation skills to enable onboarding of automated features into the test frameworkWorking knowledge of performance engineering aspects for LLM serving systems

Basic Qualifications

Bachelor’s Degree in Computer Science or related field experience4+ years relevant work experienceHands on experience in at least, one of Python (mandatory), Shell, C++Strong experience in software technologies, methodologies, and applied software engineering practices such as Object-Oriented Design (OOD), cloud and embedded software test automation

Preferred Qualifications

Excellent programming skills in one or more programming languages (Python, Bash, C++)Hands-on experience in API testing & developing automation test scripts for Embedded/IOT PlatformsFamiliarity with AI frameworks models performance, quantization, and accuracy metricsExperience with ML frameworks such as PyTorch, Caffe2, Tensor flow etc and HW acceleratorsDeep understanding of automation testing and writing automation scripts

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

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