Cluster Systems Engineer – AI Inference Infrastructure

Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Software EngineeringGeneral Summary:We are looking for a **Cluster Systems Engineer** to support the deployment, configuration, and maintenance of our AI inference clusters. This role focuses on automation, OS provisioning, and cluster reliability.##### **Key Responsibilities**- Provision and manage Linux-based servers in datacenter environments.- Implement OS lifecycle management and patching strategies.- Develop automation scripts and playbooks using Python and Ansible.- Integrate RedFish for Out-of-Band operations.- Manage and troubleshoot **Kubernetes and Slurm clusters**.- Contribute to observability solutions using Prometheus and OpenTelemetry.##### **Required Qualifications**- Bachelor's or Master's in Computer Science, Electrical Engineering, or related field.- 3–5 years of experience in systems engineering or HPC environments.- Strong Linux administration experience.- Good understanding of datacenter networking fundamentals.- Experience with Redfish, IPMI, SNMP, and other hardware management protocols.- Proficiency in **Python and Shell scripting**.- Experience with automation tools (**Ansible preferred**).- **Hands-on experience managing Kubernetes and Slurm clusters**.- Solid software engineering fundamentals (version control, testing).- Exposure to cloud platforms (AWS, Azure, GCP) and hybrid deployments.- Familiarity with AI workloads is desirable. Bachelor's or Master's in Computer Science, Electrical Engineering, or related field.- 3–5 years of experience in systems engineering or HPC environments.- Strong Linux administration experience.- Good understanding of datacenter networking fundamentals.- Experience with Redfish, IPMI, SNMP, and other hardware management protocols.- Proficiency in **Python and Shell scripting**.- Experience with automation tools (**Ansible preferred**).- **Hands-on experience managing Kubernetes and Slurm clusters**.- Solid software engineering fundamentals (version control, testing).- Exposure to cloud platforms (AWS, Azure, GCP) and hybrid deployments.- Familiarity with AI workloads is desirable.Bachelor's or Master's in Computer Science, Electrical Engineering, or related field.- 3–5 years of experience in systems engineering or HPC environments.- Strong Linux administration experience.- Good understanding of datacenter networking fundamentals.- Experience with Redfish, IPMI, SNMP, and other hardware management protocols.- Proficiency in **Python and Shell scripting**.- Experience with automation tools (**Ansible preferred**).Minimum Qualifications:•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field.• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability- or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. 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