Senior Wireless Test Development Software Engineer, SDET

This role involves designing automation scripts and building QA tools to optimize testing efficiency and identify potential issues, directly contributing to the reliability of NVIDIA's enterprise products like AI Aerial™. The engineer will utilize AI-powered tools for test case generation, defect detection, and regression testing, and implement AI-driven solutions to enhance test coverage. Collaboration with cross-functional teams is key to adopting AI tools, managing the bug lifecycle, and assisting in the architecture and implementation of SWQA test frameworks.

Must Have

• Utilize AI-powered tools for QA efficiency (test case generation, defect detection, regression testing)
• Implement AI-driven solutions to optimize test coverage and identify high-risk areas
• Collaborate with cross-functional teams to adopt AI tools and improve workflow
• Develop test plans, design test cases, and compose test reports
• Build and maintain complex test environments
• Manage bug lifecycle, debug, and verify fixes
• Assist in architecture and implementation of SWQA test frameworks
• 5+ years QA experience in the Telecom industry
• Strong understanding of QA methodologies and AI tool integration
• Background with LTE/5G PHY and MAC (3GPP spec), Keysight equipment
• Proficient in Linux, shell/python/perl programming
• Experience in test cases development, automation, and failure analysis
• Good QA sense and knowledge in software testing
• Problem solving skills

Good to Have

• Thirst and ability to learn and adapt to new technologies
• Background with working with NVIDIA GPU and/or DPU hardware
• Experience in using or managing cloud technologies like Kubernetes, OpenStack, and Docker

Job Requisition ID

JR2008502

Job Category

Engineering

Time Type

Full time

We seek a passionate Senior SWQA Test Development Engineer to collaborate across cross-functional teams and enhance product quality. At NVIDIA, you will design automation scripts and build QA tools to optimize testing efficiency and identify potential issues, contributing directly to the reliability of enterprise products such as NVIDIA AI_ Aerial™

—a suite of computing platforms and software that enables development and deployment of AI

-native wireless networks for 5G and 6G. Learn more in the AI_ Aerial

What you’ll be doing:

• Utilizing AI-powered tools to enhance QA efficiency, including automating test case generation, defect detection, and regression testing.
• Implementing AI-driven solutions to optimize test coverage and identify high-risk areas in software systems.
• Collaborating with cross-functional teams to adopt AI tools that improve workflow automation and reduce manual effort.
• Work closely with multi-functional teams to understand the test requirements and take ownership of product quality.
• Develop test plans, design test cases, complete testing via automation and/or manually and compose test reports.
• Build and maintain our complicated test environments.
• Manage bug lifecycle and co-work with inter-groups to drive for solutions.
• You will assist in the architecture, crafting and implementing of SWQA test frameworks.
• Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed.
• Experience in using AI development tools. Adept at creating detailed test cases, automating them, increasing code coverage, identifying valid bugs early on, and solving these bugs swiftly.

What we need to see:

• BS or higher degree or equivalent experience in CS/EE/CE or equivalent with 5+ years QA experience in Telecom industry.
• Experience using AI tools for QA tasks
• Familiarity with AI-powered testing frameworks and platforms that improve process efficiency
• Strong understanding of QA methodologies and the ability to integrate AI tools into existing workflow.
• Background with LTE/5G PHY and MAC from both systems and low-level 3GPP spec point of view, proficient experience in Keysight equipment.
• Proficient Linux experience and shell/python/perl programming skills.
• Rich experience in test cases development, tests automation and failure analysis
• Good QA sense, knowledge and experience in software testing
• Problem solving skills.

Ways to stand out from the crowd:

• You have a thirst and ability to learn and adapt to new technologies
• Background with working with NVIDIA GPU and/or DPU hardware is a strong plus
• Experience in using or managing cloud technologies like Kubernetes, OpenStack and Docker