Quality Assurance Software Developer Engineer in Test, GeForce GPU
About The Position
NVIDIA is seeking a creative, and hands-on software engineer with a test to failure approach who is a quick learner, can understand software and hardware specifications, build reliable tests and tools C++/C#/Python to improve quality and accelerate delivery of GeForce NVIDIA products. The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of both Windows and Linux operating systems. As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization.
Requirements
- B.E./B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience
- 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
- Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
- Good experience with using AI development tools for test plans creation, test cases development and test cases automation
- Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.
- Experience working with databases and storage technologies like SQL and Elasticsearch
- Good understanding of OS fundamentals, PC Hardware and troubleshooting.
- Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb
- Working knowledge of GPUs devices and technologies like DLSS, Frame Generation, Reflex, CUDA, G-Sync, etc.
- The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage
Nice To Haves
- Prior project experience with building ML and DL based applications would be a plus
- Good understanding of testing fundamentals
- Good problem solving skills (solid logic to apply in isolation and regression of issues found).
Responsibilities
- Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
- Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform.
- Execute manual and automated tests, identify, and report defects.
- Measure code coverage, analyze and drive code coverage improvements.
- Develop applications and tools that bring data driven insights to development and test workflows.
- Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain.
- Write maintainable, reliable, and well detailed code.
- Debug issues to identify the root cause.
- Provide peer code reviews including feedback on performance, scalability, and correctness.
- Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.
- Generate and test compatibility across a range of products and interfaces.
- Work closely with leadership to report progress by generating effective and impactful reports.
Benefits
- equity
- benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
