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AI Accelerator Chip Architect - Capgemini
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AI Accelerator Chip Architect

Published 10/01/2026 | Expires 12/06/2026

Job description

Roles & Responsibilities

Lead architecture and technical strategy for AI/ML acceleration silicon, including compute engines, memory architecture, interconnects, and software enablement.

Key Responsibilities:

  • Define AI accelerator architecture.Analyze AI workloads and mapping strategies.
  • Drive NPU/Matrix Engine/MAC architecture decisions.
  • Define memory hierarchy and bandwidth requirements.
  • Guide RTL and verification teams.
  • Support customer technical workshops and solution definition.
  • Drive accelerator roadmap and differentiation.

Our Ideal Candidate

  • 15+ years in ASIC/SoC design.
  • Prior experience on AI, GPU, DSP, NPU, TPU, or HPC silicon.
  • Strong understanding of AI workloads and inference pipelines.
  • Experience in compute architecture and memory systems e.g. ARM Neoverse, RISC-V mesh based compute sub-system
  • Compute Sub-system experience
  • Complex NoC experience e.g. Arteris / ARM
  • Understanding on other processor such as ARM A, M and R series
  • Understanding of RTL design and verification.
  • Performance modeling experience and assessment using virtual or emulation platform.
  • Strong customer-facing capability.

Job criteria

Employee Medium level (2-5 years)
Type of job Full-time
Cities Bangalore