AI Network Solutions Engineer - Early Career

Marvell Technology And Solutions Architect

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

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.

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

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.

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.

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.