What you will do:
Work across OpenStack and OpenShift platforms to validate system-level architectures tailored for AI and ML workloads.
Design, develop, and maintain automated test frameworks and pipelines for performance and compatibility testing with AI accelerators.
Collaborate with partners and hardware vendors to evaluate and integrate support for their accelerator solutions.
Participate in agile planning, including creating and reviewing test plans, improving test coverage, and enhancing test reliability and performance.
Investigate issues, perform root cause analysis, and contribute fixes or enhancements upstream when needed.
Develop, maintain, and validate Cloud Validated Architectures to ensure stable and performant AI workloads.
Represent the team in upstream communities (OpenStack - Nova, Cyborg, Watcher), Red Hat partner engagements, and technical enablement efforts.
Mentor junior engineers and support leadership in coordinating the team’s quality engineering activities.
What you will bring:
5+ years of experience in Quality Engineering, Software Engineering, or Systems Integration.
Proven experience with AI/ML workload testing, accelerator enablement, or performance benchmarking in cloud environments.
Solid experience with test automation tools and frameworks; proficiency in Ansible, Python , Bash, or equivalent.
Strong understanding of Linux , OpenStack , and/or OpenShift /Kubernetes.
Hands-on experience working with hardware accelerators (e.g., NVIDIA, AMD, Intel) and their software stacks.
Strong communication skills and ability to collaborate across teams and with external partners.
Experience writing, maintaining, reviewing automated system tests , and contributing to upstream projects is a plus.
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, a related technical discipline, or equivalent work experience.
The following will be considered a plus:
Familiarity with AI stack and workloads
Exposure to CI/CD infrastructure (Zuul, Jenkins, GitLab CI, etc.)
Familiarity with Kubernetes, SR-IOV, DPDK, and other high-performance networking/compute technologies
Contributions to open-source QE or infrastructure projects
Experience in collaborative partner projects or customer co-development
The salary range for this position is $105,860.00 - $169,340.00. Actual offer will be based on your qualifications.
Pay Transparency
● 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
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