NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world.
We are looking for a Software Verification Engineer with a compute infrastructure background to work on NVIDIA Storage solutions.
If you bring your quality and creative thinking to solving issues as they arise and enjoy working with distributed teams, your place is with us!
What you'll be doing:
- Build an automated verification environment for high-end hardware and software that is at the forefront of innovation.
- Improve product quality by growing test coverage.
- Take an active part in development, integration, and verification with R&D.
- Drive improvements for performance, quality, and stability around Storage solutions.
What we need to see:
- Familiarity with Software Verification System/QA automation and contribution with a real passion for automation.
- Expertise in networking & compute infrastructure (servers, switches, routers).
- 2+ years of experience with scripting languages, including Bash and Python.
- 2+ years of hands-on experience with Linux distributions, with strong command-line skills.
- Familiarity with version control systems (Git).
- Good spoken and written English (Upper Intermediate or higher).
- Strong analytical, debugging and problem-solving skills.
Ways to stand out from the crowd:
- Experience with PyTest or other testing frameworks, virtualization in Linux (QEMU/KVM).
- CI/CD approach and toolset (Jenkins).
- Experience with configuration management tools (Ansible).
- Docker and Kubernetes experience.
- Understanding of C/C++ toolchain in Linux, including cross-compilation (C, C++, automake/autoconf, cmake, meson).
