ML Software Developer in Test (SDET)—AI Inferencing

Company:Qualcomm India Private LimitedJob 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/frameworks
• Strong fundamentals of Deep learning, transformer architecture, industry-grade LLM serving KPIs
• Responsible for development of test strategies and ML test harnesses for AI Inference Accelerators
• Create automated test infra to for engineering teams to test and deliver key features
• 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
• Working knowledge of performance engineering aspects for LLM serving systems

Basic Qualifications

• Bachelor’s Degree in Computer Science or related field experience

• 4+ years relevant work experience
• Hands 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 Platforms
• Familiarity with AI frameworks models performance, quantization, and accuracy metrics
• Experience with ML frameworks such as PyTorch, Caffe2, Tensor flow etc and HW accelerators
• Deep 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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