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Memory & Data-Movement / Chiplet Architect

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Onsite

Memory & Data-Movement / Chiplet Architect

Sourceright Technologies

Memory & Data-Movement / Chiplet Architect

Skills

PythonAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

20 September 2026

What they need


Position: Memory & Data-Movement / Chiplet Architect (IRT712ST RM 4408)

Position Summary
Develop models and architecture studies for HBM, DDR, CXL memory, and system-level data movement in AI infrastructure.

Work mode : Hybrid

Education : B.E. / B.Tech / M.E. / M.Tech in Electronics, Electrical, Computer Engineering, or related discipline.

Key Responsibilities

  • Memory / Data-Movement Modelling: Develop functional/ performance models for HBM/DDR/memory subsystems; model memory bandwidth, latency, and access patterns; model DMA and high-volume data movement; analyze buffering, queues, and traffic patterns; evaluate CXLbased memory architectures.
  • Multi-Chiplet / Multi-XPU Scalability: Analyze memory scaling with multiple XPUs/chiplets, study aggregate bandwidth requirements, and identify memory bottlenecks in multi-XPU configurations.
  • System Performance & Architecture Exploration: Perform memory architecture trade-offs, evaluate bandwidth vs. latency vs. capacity, and correlate memory behavior with AI workload requirements.

Required Technical Skills

  • HBM / DDR.
  • 7-12+ years of semiconductor/system architecture experience.
  • Memory controllers.
  • Data movement / DMA.
  • SystemC/TLM.
  • C++ / Python.
  • AI/HPC system architecture.

Preferred Skills

  • Chiplet architecture, UCIe, PCIe.
  • Cache/coherency.
  • HBM2E / HBM3 / HBM3E.
  • AI accelerator architecture.

Project Experience : Hands-on memory/data-movement architecture or modelling work on HBM, DDR, or CXL-based memory systems.

Soft Skills

  • Strong quantitative reasoning across bandwidth, latency, and capacity trade-offs.
  • Ability to correlate memory-subsystem behavior with AI workload requirements for non-memoryspecialist stakeholders.

Good to Have

  • Direct HBM2E/HBM3/HBM3E architecture or modelling experience.
  • Exposure to cache/coherency design in a multi-chiplet system.

Expected Deliverables

  • Functional/performance models for HBM/DDR/CXL memory subsystems.
  • Memory scaling analysis across multi-XPU/chiplet configurations.
  • Memory architecture trade-off studies (bandwidth vs. latency vs. capacity).

Growth Path : Progress into Principal Memory Architect or Memory Subsystem Practice Lead roles.

Job Category: Embedded HW_SW

Job Type: Full Time

Job Location: Bangalore Hyderabad

Experience: 7-12 Years

Notice period: 0-30 days

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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