QA and Automation Engineer @ NVIDIA
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About the QA and Automation Engineer Role
We are looking for a QA and Automation Engineer to join our SW Management team at NVIDIA. This role focuses on testing SW Management tools and high-performance computer systems, combining enhanced real-time network telemetry with AI-powered cyber intelligence and analytics.
What You'll Be Doing
You will design, develop, and execute tests for new features as part of SoC software GA or update releases. Responsibilities include:
- Testing software management tools and high-performance systems
- Reporting bugs and assisting with reproduction and debugging
- Designing and automating regression tests and infrastructure across coding languages
- Performing integration testing with 3rd party components like Linux Drivers, Network Cards, and Operating Systems
What We Need To See
Candidates should have a B.Sc./BA in Computer Science, Electrical Engineering or equivalent with the following experience:
- 2+ years testing web applications
- 2+ years in Networking and system experience (L2/L3)
- 3+ years hands-on experience with scripting languages (Python, Bash, Java)
- Excellent communication and interpersonal skills
Ways To Stand Out From The Crowd
Additional skills and experiences that can enhance your application:
- Knowledge in Artificial Intelligence and machine learning
- Experience in designing automation infrastructure
- Familiarity with QA methodologies and tools (HP-ALM, Redmine)
- Virtualization experience
- Hands-on experience with CI/CD and Test-Driven Development
About NVIDIA
NVIDIA is widely regarded as one of the technology world’s most desirable employers. We value creativity, autonomy, and diversity. As an equal opportunity employer, NVIDIA is committed to fostering a diverse work environment and welcomes applications from all qualified candidates.
Key skills/competency
- QA Testing
- Automation
- Scripting
- Debugging
- Networking
- Integration
- CI/CD
- Virtualization
- AI
- Machine Learning
How to Get Hired at NVIDIA
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant QA and automation projects.
- Research NVIDIA's culture: Understand their mission and innovation in data centers.
- Emphasize technical skills: Show expertise in Python, Bash, Java.
- Prepare for behavioral questions: Use examples of teamwork and problem-solving.