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. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact Qualcomm Careers.