HWQA Engineer

NVIDIA is looking for a HWQA Engineer to drive quality improvements and collaborate with test and development teams to build and qualify exceptional products.

Job Description: As a HWQA Engineer, you will design, build, and implement test cases and test plans on Pre-Silicon (FPGA) and Silicon on engineering Chip validation platforms using Data Center Server OS/ARM Linux.

Key responsibilities include:

• Developing test plans and validating various components of the platform, including OS Kernel, CPU, Memory, IO interfaces (C2C, USB, PCIe, Ethernet)
• Designing and implementing automated testing frameworks to enhance verification processes and reliability in testing pipelines using LLM/Gen AI tools for Stress and Stability testing
• Creating workloads and identifying appropriate tools to validate new chip features and functionalities
• Working closely with multi-functional teams, including hardware ASIC, FPGA teams, and SW development teams on new requirements, products, or features/improvements of existing products, test plans, and test methods
• Troubleshooting bugs and providing resolution

Requirements:

• Graduate/Post Graduate in Computer Science/Electronics/Telecommunication
• At least 3+ years of extensive test development, execution/validation experience on pre-silicon and Silicon in the area of Embedded/SoC (Android/Linux/WOA) platforms
• Strong hands-on experience in Windows on Arm (WOA) and GPU validation, including test planning, execution, debug, and issue closure on SoC/platform bring-up
• Solid understanding of SoC architecture, platform bring-up, and IP-level validation (e.g., USB, display, GPU, LSIO), with the ability to debug issues across HW, FW, and SW
• Practical knowledge of AI/LLM fundamentals and how to apply them to validation
• Proven ability to use GenAI and LLM tools to optimize test strategies, automate script/harness generation, and improve coverage, cycle time, and debug efficiency
• Proven ability to design and develop custom validation tools, test frameworks, and automation infrastructure
• Experience creating workloads and test methodologies to exercise chip features, including stress and stability testing
• Hands-on validation experience on key interfaces such as PCIe, USB3, CPU, and memory, or equivalent SoC/platform interfaces
• Strong knowledge of Linux kernel, bootloader, device-driver, and firmware testing, along with virtualization concepts and multicore/multiprocessing fundamentals

Nice to Have:

• LLM, GenAI Experience (tools like Cursor/Codex etc.)
• GPU validation experience
• Experience in using an Analyzer/Oscilloscope
• Previous experience with IP-level test plan and test cases development with Embedded/Chipset/Data Center-Server Platforms
• Proven track record of delivering complex projects and automation solutions , from planning through execution , with tangible, production-ready outcomes