Arindam Saha
Product leader in datacenter, media, edge and AI infrastructure
Cupertino, California, United States
Joined February 2026
Summary
Product and segment leadership across datacenter, media and edge compute: Arindam's recent roles focus on product marketing and segment leadership for datacenter compute, accelerators, cloud gaming, VDI and media solutions, indicating a career emphasis on positioning and driving solutions for media & entertainment and datacenter workloads. rocketreach+1
Experienced engineering leader in IoT, network and edge systems: Multiple engineering management and director roles at Intel list responsibilities over IoT, network and edge groups, reflecting experience leading hardware/software engineering teams for connected and edge deployments. wiza
Academic training and research in parallel computing: A Ph.D. from Lehigh University with a dissertation on parallel recursive computations and conference publications (ICPP 1994) show a research foundation in parallel algorithms and overhead analysis. mathgenealogy+1
Cross-functional experience spanning engineering, product and marketing: Career history includes senior engineering management, engineering director roles, a senior manager role at Symbotic, segment director roles at Intel, and a product marketing director role at Marvell, demonstrating movement between technical leadership and go-to-market responsibilities. rocketreach+1
Work
Education
Writing
Parallel Recursive Computations where Both Recombination and Partition Overheads are Problem-Dependent
January 1, 1994Conference paper on parallel recursive computations and how recombination and partition overheads affect problem-dependent performance.
The Design and Analysis of Parallel Recursive Computations in the Presence of Overheads
January 1, 1991Ph.D. dissertation investigating the design and analysis of parallel recursive computations accounting for overheads.
Accelerating the Deployment and Scaling of Multiple Media and AI Workloads (CEMP Whitepaper)
Intel collaborative whitepaper addressing deployment and scaling strategies for edge media and AI workloads; lists Arindam Saha as a contributing author.