Job Summary:
The AI Core Components organization, part of AI Engineering, is looking for individuals with a passion for Open Source, automation and helping grow the impact of Red Hat’s AI offerings for our customers and the community. In the position of Senior Software Quality Engineer you will work on a variety of the key projects within the Application Platform team, where we focus on integration of GPU accelerators with various RHEL AI components and the tools that make this happen. This position enables you to impact Red Hat’s rapidly growing AI/ML family of products directly.
If you enjoy working in a rapidly growing, dynamic environment where each day provides interesting challenges and opportunities, this might be just the place for you. What you will bring is a desire for continuous improvement of testing methodologies and infrastructure, through automation and taking innovative approaches. As some of the systems you test might be non-deterministic, you will get ample opportunities to flex your brain-cells to come up with solutions.
Also, you will enjoy open collaboration both within and outside your team, as we foster an open organization where everyone’s contributions and thoughts are valued and encouraged. You will have opportunities to engage with the upstream Open Source community.

What you will do:

• Define and implement automated test strategies and the infrastructure to support them in a manner that enables all team members to contribute to releasing quality software
• Execute, monitor results and troubleshoot both automated and manual tests
• Collaborate with SW Quality team members outside the immediate team to work toward an integrated testing strategy with best possible coverage and resulting quality
• Analyze source code and work with developers to propose appropriate test approaches for all parts of our software; this includes providing feedback on how to make our code more test-friendly
• Explore novel approaches to testing RHEL AI software, focusing on all aspects ranging from usability, unwanted behaviors to performance and scalability
• Develop and work on the design of test automation frameworks and tools and their integration with the development workflow
• Regular communication and feedback about progress to various project stakeholders, such as other Red Hat AI Engineering teams, product managers and management
• Participate in upstream AI/ML communities with a focus on learning more about the various technologies and how they might be used within our offerings

What you will bring:

• Experience as a Software Quality Engineer, preferably in a project that uses Python and works with an upstream community, which includes developing test plans
• Solid experience scripting and creating automation using Python and Bash
• Basic experience with automation in GitHub/GitLab, such as GitHub actions or similar continuous integration tools
• Experience with container technologies, such as Kubernetes/OpenShift and Podman
• Work experience with DevOps methodologies, scrum and tools, such as Jira

The following will be considered a plus:

• Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm
• Knowledge of AI/ML and how it might impact approaches to testing
• Automation experience using tools such as Ansible

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The salary range for this position is $101,300.00 - $162,050.00. Actual offer will be based on your qualifications.
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat
is the world’s leading provider of enterprise
open source
software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We’re a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits

• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account - healthcare and dependent care
• Health Savings Account - high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family medical leave, and paid military leave
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email
application-assistance@redhat.com
. General inquiries, such as those regarding the status of a job application, will not receive a reply

• Define and implement automated test strategies and the infrastructure to support them in a manner that enables all team members to contribute to releasing quality software
• Execute, monitor results and troubleshoot both automated and manual tests
• Collaborate with SW Quality team members outside the immediate team to work toward an integrated testing strategy with best possible coverage and resulting quality
• Analyze source code and work with developers to propose appropriate test approaches for all parts of our software; this includes providing feedback on how to make our code more test-friendly
• Explore novel approaches to testing RHEL AI software, focusing on all aspects ranging from usability, unwanted behaviors to performance and scalability
• Develop and work on the design of test automation frameworks and tools and their integration with the development workflow
• Regular communication and feedback about progress to various project stakeholders, such as other Red Hat AI Engineering teams, product managers and management
• Participate in upstream AI/ML communities with a focus on learning more about the various technologies and how they might be used within our offering