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AI Cloud Developer
3 weeks ago
Our mission is to support the evolution of AI workloads in cloud platforms. We're seeking a highly skilled professional to join our team as a Senior Software Engineer. This role is critical to enabling high-performance, cloud-native AI workloads.
The ideal candidate will have a strong understanding of Linux, OpenStack, and/or OpenShift/Kubernetes. They will be proficient in Ansible, Python, Bash, or equivalent and have experience with test automation tools and frameworks.
- Working across OpenStack and OpenShift platforms to validate system-level architectures tailored for AI and ML workloads.
- Designing, developing, and maintaining automated test frameworks and pipelines for performance and compatibility testing with AI accelerators.
- Collaborating with partners and hardware vendors to evaluate and integrate support for their accelerator solutions.
- Participating in agile planning, including creating and reviewing designs, test plans, improving coverage, and enhancing reliability and performance.
- Investigating issues, performing root cause analysis, and contributing fixes or enhancements upstream when needed.
- 5+ years of experience in Quality Engineering, Software Engineering, or Systems Integration.
- Strong understanding of Linux, OpenStack, and/or OpenShift/Kubernetes.
- Proficiency in Ansible, Python, Bash, or equivalent.
- Solid experience with test automation tools and frameworks.
- Hands-on experience working with hardware accelerators (e.g., NVIDIA, AMD, Intel) and their software stacks.
- Proven experience with AI/ML workload testing, accelerator enablement, or performance benchmarking in cloud environments.
- Strong communication skills and ability to collaborate across teams and with external partners.
- 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 or infrastructure projects.
- Experience in collaborative partner projects or customer co-development.
