Your Team, Your Impact

The Technology and Solutions Architecture team operates at the intersection of hardware and software, driving innovation for next-generation AI infrastructure. We build co-optimized solutions to address the most demanding AI data center challenges-reimagining data movement, storage, transformation, and processing pipelines. By leveraging purpose-built Marvell accelerators, we accelerate performance and scalability while helping shape emerging industry standards.

What You Can Expect

In this role, you will work closely with architects, technologists, and product teams to influence research and development in cutting-edge forward-looking technologies in scale up and scale out networking, disaggregated memory, storage and security domains. You can also expect to:

• Stay Current: Keep up with the latest advancements in generative AI, AI infrastructure, and hardware innovation trends
• Research & Recommend: Track emerging AI infrastructure technologies, benchmark them against Marvell solutions, and identify opportunities for adoption or enhancement
• Analyze Performance: Measure and assess workload performance, including latency, throughput, response times, and resource utilization
• Build Simulations: Create simulation environments to model large-scale AI/ML setups and configurations
• Support Products & Customers: Provide support for Marvell products and act as a technical bridge between customers and internal teams to troubleshoot and resolve issues
• Build Next-Generation Solutions: Partner with hardware, software, and IC design teams to develop scalable, high-performance AI/ML infrastructure

What We're Looking For

Minimum Qualifications:

• Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• 0-2 years of relevant experience
• Proficiency in programming languages such as C, C++, Rust, Python, and ARM/x86 assembly
• Solid understanding of the Linux operating system and kernel internals, with a focus on networking
• Strong foundation in computer architecture
• Knowledge of networking protocols, including TCP/IP and RDMA

Preferred Qualifications:

• Familiarity with network device drivers and frameworks such as DPDK
• Experience programming GPUs, DPUs/RDMA NICs, FPGAs, or other hardware accelerators
• Knowledge of XPU/GPU and CPU architectures (ARM, x86, RISC-V)
• Understanding of advanced networking protocols such as RoCE and NVMe over Fabrics; familiarity with UET protocol is a plus
• Experience with simulation and modeling tools such as NS-3, HTSim, ASTRA-sim, or similar

Expected Base Pay Range (USD)
94,160 - 141,000, $ 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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