Red hat Quality Engineer - AI Hardware Accelerators 

Israel, Center District, Raanana 

504513490

Job Summary

You'll be responsible for all aspects of quality for Red Hat OpenShift, including designing test plans, extending automation frameworks, and developing new automated tests and infrastructure.

You will make sure our solutions fulfill the highest possible enterprise quality.

As a Quality Engineer, you will gain a deep technical understanding of a variety of popular technologies, including containers, Kubernetes, Red Hat OpenShift, focused on deep integration of AI stack and hardware accelerators.

What you will do:

• Work in a fast-paced Agile global environment of talented Engineers

• Execute manual and automated tests and deliver clear status in a timely manner.

• Conduct failure analysis, explore, identify and document new bugs, advocate for the resolution of bugs and communicate the impact on customers to developers and support;

• Coordinate cross components teams to be responsible for bug verification, regression testing.

• Work with the product release related teams to be responsible for the product delivery related testing;

• Design, develop and maintain automation frameworks, CI and scripts with Golang for OpenShift testing and implementation

• Develop and implement tests for AI tools that leverages hardware accelerators (e.g., GPUs)

• Collaborate with hardware and software engineers to ensure optimal integration between AI and accelerators

• Write high-quality, maintainable, and efficient code on open source repositories

• Participate in code reviews and provide technical mentorship to junior engineers

• Stay up-to-date on the latest advancements in AI frameworks, and hardware accelerators

What you will bring:

• 3+ years of professional experience working as Quality Engineer or similar roles

• Strong experience with RHEL or other Linux distributions

• Excellent problem-solving and debugging skills

• Strong communication and collaboration skills

• Ability to work independently and as part of a team

• Testing experience working with globally distributed QE team members

• Familiarity with testing methodologies and techniques

• Programming skills in shell, Golang, Python or another programming language

• Ability to work in a fast-paced environment and learn quickly

• Knowledge of CI/CD and Jenkins

The following is considered a plus:

• Experience with Ansible

• Experience with hardware accelerators (e.g., GPUs) for AI workloads

• Knowledge of AI frameworks (e.g., TensorFlow, PyTorch)

• Background in DevOps

• Experience with Linux kernel development

• Knowledge of Amazon Web Services (AWS) , Google Compute Engine (GCE), or Microsoft Azure

• Experience with a container ecosystem like Docker, Kubernetes, or Red Hat OpenShift.