AI Solutions Analyst - Early Career
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- 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
- recognition and service awards to celebrate contributions and milestones
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
