Marvell Careers2

Marvell Careers2

Accelerated Computing Solutions Analyst - Early Career

Santa Clara, CA · Internship

Sponsorship not specified$94k-$141kDetected 30 days ago
PythonNode.jsMachine LearningData AnalysisData VisualizationLLMsElectrical EngineeringResearchLeadershipCommunication

About the role

  • At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow.
  • 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.

Responsibilities

  • Partner with hardware and software architects, technologists, and IC engineering teams to develop scalable, high-performance, cutting-edge AI/ML infrastructure.
  • Lead system architectural design and implement proof-of-concept solutions for diverse workloads, optimizing execution across distributed, heterogeneous memory, compute, and storage environments.
  • Create and refine simulation environments for large-scale setups and configurations, especially in the AI/ML domain.
  • Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time.

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
  • 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
  • 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.

Skills

  • About Marvell
  • Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
  • Your Team, Your Impact
  • What You Can Expect

Compensation

  • Expected Base Pay Range (USD)

Equal opportunity

  • 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.
  • Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

Visa & Work Authorization

  • export control laws and regulations, including the Export Administration Regulations (EAR)

This listing is sourced directly from Marvell Careers2's careers page and normalized into a canonical job model.