BENGALURU · FULLTIME
AI Accelerator Chip Architect
Capgemini
Bengaluru · onsite · Posted 12d ago
Sourced from
Undisclosed15–20 yrsfulltimeBengaluru
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Section · 01
About this role
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.
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Section · 02
Skills
SOCHpcsoc designNOCASICRTL DesignMappingProcessorArchitectureArtificial IntelligenceMachine Learning
Section · Company
About Capgemini
Capgemini
IT Services & Consulting
235k+
employees
1967
59 years old
Mumbai, Maharashtra
India
About
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
Industries
IT Services & ConsultingAnalytics & KPOBankingSoftware Product
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