Accelerated Computing Solutions Analyst - Early Career
About The Position
The Technology and Solutions Architecture team is innovating at the intersection of hardware and software— Building co-optimized solutions for the most demanding AI data center challenges, reimagining the data- movement / storage / transformation / processing pipelines with purpose-built Marvell accelerators to advance next-generation AI infrastructure, and shaping open standards. We are seeking an innovative AI Solutions Analyst to research, explore, and build co-optimized fabric-attached, shared, disaggregated, and multi-tier memory and storage solution architectures designed to meet the rapidly scaling memory and storage demands of XPU for increasingly data-centric workloads. You will work closely with architects, technologists, and product teams to influence research and development in cutting-edge forward-looking technologies in the disaggregated memory, storage, networking, and security domains.
Requirements
- PhD or Master's degree in computer science and engineering, electrical engineering, or related field
- HW/SW co-design experience with proven expertise with GPUs, DPUs, FPGAs, or custom hardware accelerators
- Processor micro-architectures (preferably ARM), scalar and vector processing pipelines, techniques to optimize memory bound applications
- Deep understanding of memory or storage subsystems, disaggregated memory for accelerators, cluster level shared memory approaches, NVMeoF
- Familiarity with coherent / non-coherent interconnects, like CXL, UAL, NVLink, and multi-GPU / multi-node communication mechanisms and optimization techniques like SHARP and NCCL
- Proficiency in performance benchmarking of AI data processing workloads, system profiling and analyzing end-to-end flows
- Experience with simulators & modeling, GPU/CPU cooperative accelerated computing optimizing / accelerating data-centric AI workloads
Responsibilities
- Develop Next-Gen Solutions: Partner with hardware and software architects, technologists, and IC engineering teams to develop scalable, high-performance, cutting-edge AI/ML infrastructure.
- Foster Innovation: Spearhead advancements in accelerating AI/ML applications in heterogenous and disaggregated compute architectures, networking, storage, and security domains, focusing on emerging technologies such as CXL, UAL, UEC, low-latency transport protocols, and Post-Quantum Cryptography.
- Architect and Execute: Lead system architectural design and implement proof-of-concept solutions for diverse workloads, optimizing execution across distributed, heterogeneous memory, compute, and storage environments. Present innovative ideas and substantiated proof-points to senior management and CTOs.
- Represent in Standards Bodies: Advocate Marvell’s leadership in industry standards bodies and working groups, shaping new standards and emerging technologies aligned with Marvell's strategic interests.
- Analyze Performance: Conduct advanced characterization and performance analysis of complex workloads, monitoring critical metrics such as response time, latency, and resource utilization.
- Build Simulation Environments: Create and refine simulation environments for large-scale setups and configurations, especially in the AI/ML domain.
- Document and Visualize Insights: Develop comprehensive documentation and data visualizations to support analysis and insights, leveraging tools like Python and related libraries.
- Stay at the Forefront: Keep abreast of the latest developments in generative AI and hardware data analysis, and propose innovative approaches to enhance device tuning and interoperability performance.
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
Education Level
Ph.D. or professional degree
