Software QA Automation Infrastructure Engineer

Reposted Yesterday
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Yokneam
In-Office
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Software QA Automation Infrastructure Engineer at NVIDIA, you will enhance automation infrastructure systems, develop testing tools, and collaborate on innovative QA solutions.
Summary Generated by Built In

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.

Are you an ambitious and proactive engineer eager to make a real impact in the world of automation engineering? NVIDIA, a leader in modern technologies, invites you to join our dynamic Infrastructure team. As an Automation Infrastructure Engineering, you'll immerse yourself in a collaborative environment, contributing to the development of innovative QA testing Automation systems. This role will not only improve your skills but also position you at the forefront of technology advancements.

What you'll be doing:

  • Joining our team to advance and refine our Automation infrastructure systems, bringing fresh ideas and new features.
  • Integrating exciting new technologies to achieve a flawless and intuitive Automation testing environment.
  • Applying your development experience to streamline processes and drive innovation.
  • Collaborating with a diverse team to solve complex problems and cultivate positive relationships.
  • Assisting in the implementation of sophisticated analysis tools and system integrations.
  • Be involved in design & develop of E2E applications and tools for our users

What we need to see:

  • B.Sc. or equivalent experience in Computer Sciences or a related field.
  • Completion of programming and logic build courses.
  • 1-3 Years of Experience with the following: Python, Angular, PHP, Go, Databases (e.g., Oracle, MongoDB), Git/GitLab.
  • Familiarity with Linux and Bash.

Ways to stand out from the crowd:

  • Background in Docker & Kubernetes.
  • Knowledge of network concepts.
  • Experience with CI/CD and cloud solutions.
  • Understanding of ML model training.
  • Strong communication and interpersonal skills.

If you're ready to take on challenges and contribute to our world-class team, we want to hear from you. Join us at NVIDIA, where innovation knows no bounds and your contributions can significantly impact the future of technology!

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. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Top Skills

Angular
Bash
Docker
Git
Gitlab
Go
Kubernetes
Linux
MongoDB
Oracle
PHP
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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