Rack Level Integration Engineer

Rack Level Integration Engineer

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Marvell Networking BU is seeking a highly skilled and experienced Rack Level Integration Engineer. In this role, you will be responsible for the comprehensive validation and integration of the Marvell Photonic Fabric and all components within advanced AI compute racks.

This includes overseeing the qualification and seamless integration of diverse components such as servers, accelerators, networking switches, optical backplane, power shelves, and cooling solutions, ensuring they function cohesively within the rack environment.

What You Can Expect

• Lead the design, development and implementation of technical solutions for complex projects, involving multiple domains
• 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 and proficiency in 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
• A deep understanding of AI compute rack configurations and the functionality of all integrated components
• A strong understanding of rack-level management functions and integration best practices is essential
• Proficiency in Mechanical and Thermal CAD tools
• Proven experience in testing and qualifying rack-level solutions to ensure they meet or exceed performance and reliability benchmarks
• Exceptional problem-solving skills and attention to detail are critical for success in this role

Expected Base Pay Range (USD)

131,010 - 196,300, $ 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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at View email address on click.appcast.io.

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.