Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Software Test Engineering
General Summary:
Qualcomm is looking for an experienced software QA to work within an existing team to add firmware support for machine learning Edge and Datacenter use cases. The development target is Qualcomm’s next generation high-performance inference accelerator.
Candidate should have a background in embedded software development and AI inferencing such as:
• Chipset Power Blocks
• Low-Speed Peripheral Interfaces (I2C/SPI/UART)
• PCIe and Efficient Data Movement using DMA
• Hardware/Software Bring-up and System Validation
• Development Integration and Functional Testing (DIFT)
• Test Automation Frameworks and CI Infrastructure
• Software Quality and Regression Testing
• ML Inference Software Stack (vLLM, Runtime, Compiler)
• Open Source AI Models and Framework Integration
Critical Skills and Aptitude
• 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
• Ability to interact with firmware and app software stacks stakeholders and define workflows.
• Robust experience in Python and Shell scripting for test automation and infrastructure development.
• Experience with C/C++ software development, debugging, and testing on embedded platforms.
• Experience developing automated test frameworks and Development Integration Testing (DIFT) solutions.
• Experience with CI/CD pipelines, Jenkins, Git/Gerrit, and build automation.
• Strong understanding of SoC architecture, memory hierarchy, interrupts, power management, and multi-threaded programming.
• Experience validating hardware/software interfaces including PCIe, DMA, memory, and peripheral subsystems.
• Experience with software quality metrics, regression testing, and release qualification.