HWQA Engineer

NVIDIA; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

NVIDIA in Bengaluru seeks a test engineer to design, build and execute pre-silicon and silicon validation for GPU/SoC platforms. You will develop test plans, create workloads, and automate pipelines using GenAI tools, collaborating with hardware, firmware and software teams.

You will troubleshoot bugs, validate interfaces like PCIe/USB, and contribute to stress and stability testing, leveraging Linux kernel concepts and virtualization. A strong background in Embedded/SoC validation is required.

Qualifications

• Experience in test development and validation of pre-silicon and silicon platforms.
• Hands-on with embedded/SoC validation on Android/Linux/WOA environments.
• Strong debugging across hw/fw/sw to close issues.

Responsibilities

• Design, build and execute test cases and plans for pre-silicon and silicon validation.
• Develop automated testing pipelines and workloads for chip features.
• Collaborate with hardware, FPGA, and SW teams on validation methods.
• Troubleshoot defects and drive resolution throughout bring-up.
• Create and validate stress and stability tests using GenAI tools.

Skills

Test development

Automation framework design

Embedded/SoC validation

Linux kernel and driver testing

Windows on Arm (WOA) validation

GenAI / LLM for testing

Debug across HW/FW/SW

Multicore/multiprocessing

Education

Graduate/Post Graduate in Computer Science/Electronics/Telecommunication

Tools

GenAI tools

Oscilloscope

Logic Analyzers

PCIe test benches

Job description

What you'll be doing:

• 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 identifyappropriate 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.

What we need to see:

• 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

• 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 — 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.

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Come be a part of this exciting world, at NVIDIA.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.