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.