Your Team, Your Impact

Engineering IT

What You Can Expect

• Support and manage infrastructure for LLM and Agentic AI platforms, including GPU-enabled Linux environments, inference workloads, and scalable AI services.
• Administer and support HPC (High Performance Computing) and GRID computing environments across both on-premises and cloud infrastructures.
• Collaborate with AI/ML, DevOps, and platform engineering teams to deploy, optimize, and maintain infrastructure for autonomous AI agents, vector databases, distributed compute clusters, and intelligent automation frameworks.
• Automate AI infrastructure provisioning, configuration management, and operational workflows using Ansible, shell scripting, and Infrastructure as Code practices.
• Implement monitoring, observability, and performance optimization solutions for AI/ML workloads, HPC clusters, GRID environments, and Linux-based compute infrastructure.
• Install, configure, and maintain Linux operating systems including RHEL, Oracle Linux (OEL), and CentOS across multiple hardware platforms.
• Design and customize OS builds in alignment with business requirements and industry best practices.
• Manage Linux patching activities to maintain system security, stability, and compliance.
• Plan and execute routine maintenance activities to optimize system availability and performance.
• Work closely with security teams to identify, remediate, and prevent system vulnerabilities.
• Develop, maintain, and enhance Ansible playbooks to automate system administration and configuration management tasks.
• Identify and implement automation opportunities to improve operational efficiency and reduce manual effort.
• Lead and support Linux migration projects, ensuring smooth transition of applications and services across environments.
• Coordinate migration planning, execution, validation, and post-migration support activities.
• Assist in deploying and managing containerized applications using Docker, Kubernetes, and orchestration platforms.
• Support hybrid cloud and on-prem infrastructure environments for compute-intensive and AI-driven workloads.
• Support CI/CD pipelines for infrastructure and application deployments in hybrid or cloud-native environments.
• Create, maintain, and update technical documentation for configurations, procedures, and operational processes.

What We're Looking For

• Experience supporting infrastructure for LLM, Agentic AI, or AI/ML platforms, including GPU-based Linux environments and scalable compute infrastructure.
• Hands-on experience managing HPC (High Performance Computing) and GRID environments across on-premises and cloud platforms.
• Familiarity with distributed computing frameworks, GPU scheduling, cluster management, and workload orchestration technologies.
• Strong expertise in Linux system administration with hands-on experience in RHEL, CentOS, and Oracle Linux environments.
• Proficiency in infrastructure automation using Ansible, shell scripting, Python, and Infrastructure as Code methodologies.
• Experience with Docker, Kubernetes, and cloud-native deployment models in enterprise environments.
• Knowledge of monitoring, observability, and performance optimization tools for distributed systems, HPC clusters, and AI-driven workloads.
• Experience supporting hybrid infrastructure environments across AWS, Azure, GCP, or private cloud platforms.
• Bachelor's degree in Computer Science, Information Technology, or a related discipline.
• Proven experience as an L2/Linux Systems Administrator in enterprise environments.
• Solid understanding of Linux OS installation, configuration, troubleshooting, patching, and performance tuning.
• Hands-on experience supporting Linux migration and infrastructure modernization projects.
• Familiarity with CI/CD pipelines and DevOps operational practices is an added advantage.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Excellent communication and collaboration skills with the ability to work effectively in team-oriented environments.

Expected Base Pay Range (USD)
93,450 - 140,000, $ per annum

The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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