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ML Software Developer in Test (SDET)—AI Inferencing - Lead Engineer

A global leader in wireless technology innovation and the development of mobile technologies.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
11+ years of experience
AI
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Description For ML Software Developer in Test (SDET)—AI Inferencing - Lead Engineer

Qualcomm is seeking a Staff Engineer for ML Test and Automation, focusing on testing ML/DL models to benchmark Qualcomm AI Accelerator. This role combines deep technical expertise in machine learning with quality assurance leadership. The position requires staying current with State of Art market trends and proactively working to understand customer needs to identify optimal tools and metrics for quality assurance.

The role involves working with cutting-edge AI technologies, including Large Language Models, Computer Vision, and Natural Language Processing. You'll be responsible for developing and implementing comprehensive testing strategies for AI inference accelerator cards, ensuring both performance and accuracy benchmarking of various deep learning models.

As a Lead Engineer, you'll be working at Qualcomm's Chennai location, contributing to the company's AI initiatives. The position requires a strong background in Python programming, machine learning, and test automation, with particular emphasis on embedded systems and IoT platforms. You'll be responsible for creating and maintaining test infrastructure that enables engineering teams to deliver functional and performance metrics for language models.

The ideal candidate will have 11+ years of relevant experience, with a strong foundation in computer science or machine learning. You'll be joining a company known for its innovations in wireless technology and mobile computing, with opportunities to work on cutting-edge AI acceleration hardware and software.

Benefits include comprehensive health coverage, financial planning support, professional development opportunities, and various wellness programs. This role offers the chance to work with leading technology experts while contributing to world-changing innovations in AI and machine learning.

Last updated 2 days ago

Responsibilities For ML Software Developer in Test (SDET)—AI Inferencing - Lead Engineer

  • Performance and Accuracy benchmarking of Deep Learning models (LLM, OD, CV, NLP, Transformers etc.)
  • Understanding ML software ecosystem and developing QA approaches/frameworks
  • Providing System test recommendations for AI Inference Accelerator Cards
  • Development of validation strategies and creation of ML test harnesses
  • Experience in bringing up embedded platforms for customers and internal engineering releases
  • Strong debugging and analysis skills for root causing complex issues
  • Providing test infrastructure for language models testing
  • Ensure ML features are planned, validated, and automated as per requirements
  • Strong hands-on automation skills for test framework feature integration

Requirements For ML Software Developer in Test (SDET)—AI Inferencing - Lead Engineer

Python
Linux
  • Masters or Bachelor's degree in Computer science, Machine learning/AI or related field experience
  • 11+ years relevant work experience
  • Strong knowledge in ML/DL/LLMs in Test
  • Strong in Python programming and good problem solving skills
  • Excellent programming skills in Python and Bash
  • Hands-on experience in benchmarking and optimizing Deep Learning Models on AI Accelerators/GPUs
  • Experience with AI frameworks models performance, quantization, and accuracy metrics
  • Hands-on experience in API testing & developing automation scripts for Embedded/IOT Platforms

Benefits For ML Software Developer in Test (SDET)—AI Inferencing - Lead Engineer

Medical Insurance
401k
Education Budget
  • World-class health benefit coverage for employees and dependents
  • Financial planning and future preparation programs
  • Emotional/mental strength and resilience support
  • Wellbeing programs and resources
  • Tuition reimbursement
  • Mentorship programs
  • Continuous learning and development programs

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