Job Summary

NVIDIA is looking for HWQA Engineer who is passionate to drive quality improvements. This essential role will give you an opportunity to collaborate with other test and development teams to build and qualify exceptional products. We value diversity, you will have the opportunity to develop your skillset and build domain expertise (SME) in the areas of SoC Hardware and Software.

Responsibilities

- Design, build and implement test cases and Test plans on Pre-Silicon(FPGA), Silicon on engineering Chip validation platforms using Data Center Server OS/ARM Linux.
- Test Plans development and validation include 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 our testing pipelines using LLM / Gen AI tools for Stress and Stability testing.
- Create workloads and identify appropriate tools to validate new chip features and functionalities.
- Work closely with Multi-functional teams like hardware ASIC, FPGA teams, SW development teams on new requirements, products or features/improvements of existing products, test plans and test methods.
- Troubleshoot bugs and provide resolution. You will play a key role in fixing bugs.

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 area of Embedded/SoC (Android/Linux/WOA) platforms
- Robust 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 - for example, test strategy, log/trace analysis, triage, and test-tool development.
- 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.

Ways to stand out from the crowd

- LLM, GenAI Experience (tools like Cursor / Codex etc)
- GPU validation experience
- Experience in using an Analyzer/Oscilloscope
- Show 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 HWQA Engineer (Bengaluru)
🏢 NVIDIA
📍 Bengaluru