QA Test Developer at NVIDIA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Test Development, Validation, Embedded Systems, SoC, GenAI, Automation, Python, C/C++, Shell Scripting, Linux Kernel, Device Drivers, Firmware Testing, Virtualization, Multicore Processing, Troubleshooting, Collaboration

Industry

Computer Hardware Manufacturing

Description

NVIDIA is looking for Test Developer QA 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. 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 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. 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 (QNX/Android/Linux) platforms Leverage GenAI and LLM tools to optimize testing strategies, automate script generation, and enhance validation efficiency Ability to compile/cross compile tools/binaries for Embedded/ARM64 platforms. Proven ability to design and develop custom validation tools, test frameworks, and automation infrastructure Strong programming skills in Python/ C/C++, and Shell scripting (Bash/PowerShell) Experience creating workloads and test methodologies to exercise and validate chip features / Stress and Stability testing Confirmed Testing experience on key interfaces such as PCIe, USB3, CPU / Memory or equivalent experience Knowledge of Linux Kernel, Boot loader, Device drivers testing, and Firmware testing. Understanding of Virtualization concepts, Multicore/Multiprocessing fundamentals. Ways to stand out from the crowd: LLM, GenAI Experience (tools like Cursor etc) 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. A track record of solving problems with tangible solutions. Demonstrate delivery of complex projects/Automation solutions/Project planning in previous roles 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The QA Test Developer will design, build, and implement test cases and plans for pre-silicon and silicon validation platforms. This role involves collaborating with multi-functional teams to troubleshoot bugs and enhance testing processes using automated frameworks.