Marvell is looking to solve customer needs by developing novel solutions to accelerate hyperscale AI applications involving billion-scale datasets in a heterogeneous compute environment powered by Marvell Products and IPs.
Requirements
- Proficiency in performance benchmarking of AI data processing workloads, system profiling and analyzing end-to-end flows
- Experience in accelerated compute for AI workloads esp. vector and graph databases or similar big data applications
- Python and experience with data analysis libraries (e.g., pandas, NumPy)
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and interest in generative AI
Responsibilities
- System architectural design and implementation of specific proof of concepts, involving diverse workloads for optimal execution in distributed heterogeneous memory, compute, and storage environments.
- Advanced benchmarking, characterization, and performance analysis of complex workloads by monitoring metrics such as response times, latency, resource utilization, etc.
- Development of simulation environments of large-scale setups and configurations e.g., in the AI/ML domain.
- Close collaboration with focused teams on various tasks including troubleshooting, diagnosing, and resolving performance issues.
- Contribute to the development of novel solutions to accelerate hyperscale AI applications involving billion scale datasets in a heterogenous compute environment powered by Marvell Products and IPs.
- Get hands-on experience with hyperscale workloads such as Vector and Graph Databases, KV Caches, Ranking and Recommendation Systems, Large Language Models, Retrieval-Augmented Generation accelerated by a broad range of custom compute, connectivity, storage, security technologies.
- Work closely with architects and technologists to influence research and development in cutting-edge forward-looking technologies in the accelerated compute, networking, storage, and security domains, such as CXL and other emerging low-latency transport protocols, AI/ML, Post Quantum Cryptography, etc.
Other
- Must be currently pursuing Masters or PhD. in Computer Science, Electrical Engineering, Data Science, or other related fields
- Strong analytical skills with attention to detail and ability to work independently on complex problems.
- Work closely with experienced hardware and software architects, data scientists and system engineers.
- 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.
- 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.
