About this role
Job title: Rack Level Integration Engineer
About the Role
Marvell Networking BU is seeking a highly skilled Rack Level Integration Engineer to validate and integrate the Marvell Photonic Fabric and components within advanced AI compute racks. You will oversee the qualification and seamless integration of servers, accelerators, networking switches, optical backplanes, power shelves, and cooling solutions, ensuring they function cohesively within the rack environment.
What You'll Do
- Lead the design, development and implementation of technical solutions for complex projects spanning multiple domains, integrating rack-level systems.
- Integrate rack level optical interconnects.
- Integrate all hardware and software elements within the AI compute rack, ensuring compatibility, connectivity, and optimal performance.
- Set up, test, and qualify complete rack solutions to guarantee they meet or exceed stringent performance, reliability, and efficiency standards.
- Integrate and configure smart PDUs (Power Distribution Units) to efficiently manage power distribution within the rack.
- Maintain a comprehensive understanding of rack-level management functions, including real-time monitoring, control, and automation of critical rack components.
- Execute hands-on lab racking and stacking procedures, including the assembly and setup of intricate, high-touch rack configurations.
- Create and maintain thorough and detailed documentation for all rack-level integrations.
- Work closely and collaboratively with a diverse range of cross-functional teams, including design engineers, program managers, customers, and vendors.
What We're Looking For
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering or related fields and 3-5 years of related professional experience or Master’s degree and/or PhD in Mechanical Engineering, Electrical Engineering or related fields with 2-3 years of experience or equivalent professional experience in lieu of a formal degree.
- A minimum of 3 years of hands-on experience in rack-level integration.
- Possess and maintain a deep understanding of AI compute rack configurations and the functionality of all integrated components.
- A strong understanding of rack-level hardware configurations and the functionality of all integrated components.