AI Accelerator Chip Architect
Listed on Capgemini’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there.
Apply on Capgemini’s careers site →Job description
Roles & ResponsibilitiesLead 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 Candidate15+ 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-systemCompute Sub-system experienceComplex NoC experience e.g. Arteris / ARMUnderstanding on other processor such as ARM A, M and R seriesUnderstanding of RTL design and verification.Performance modeling experience and assessment using virtual or emulation platform.Strong customer-facing capability.
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