AvasarAI

SoC Architect

TYLsemi · 142 days ago

Verified 45 days agoEngineeringfull-timeleadIndia-eligible
Not disclosed
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Machine learningNetworking

Role Overview

As a SoC Architect you will define and drive the architecture of next-generation XPUs for AI Infrastructure. This role involves end-to-end ownership of system and SoC architecture, from concept to silicon, with a strong emphasis on scalability, performance, interconnects, and system-level optimization.

What You’ll Do

  • Define system architecture for complex SoCs, including compute, interconnect, memory, and IO subsystems

  • Drive architecture for scalable and modular designs, including chiplet-based systems (UCIe)

  • Architect high-performance data movement across:

    • Compute engines (ARM/RISC-V/ML/MAC)
    • Memory subsystems (DDR/LPDDR/HBM)
    • IO interfaces (PCIe/UCIe/CXL/UALink/ESUN)
  • Collaborate with design and DV teams to ensure architectural feasibility and efficient implementation

  • Develop performance models and simulations to validate architecture choices

  • Drive trade-offs across:  Performance, Power, Area and Cost

  • Define system-level verification and validation strategies

  • Work closely with customers and software teams to align architecture with real-world workloads

  • Influence long-term roadmap and technology direction

What We’re Looking For

  • Bachelor’s/Master’s/PhD in Electrical Engineering, Computer Engineering, or related field

  • 18+ years of experience in SoC or system architecture

  • Proven track record of architecting complex SoCs for AI, HPC, or Networking

  • Deep understanding of:

    • System-level design and trade-offs
    • High-speed IO protocols (UCIe, PCIe, Ethernet)
    • Data movement and interconnect design
    • Experience with performance modeling and architectural simulation
  • Strong cross-functional collaboration skills

Good to Have

  • Experience with memory architectures (DDR, HBM, cache hierarchies)

  • Familiarity with chiplet architectures and advanced packaging (2.5D/3D)

  • Knowledge of coherency protocols (CXL, CHI.)

  • Experience with power/performance optimization at system level

  • Exposure to software-hardware co-design

Key Attributes

  • Strong system-level thinking and architectural vision

  • Ability to balance innovation with practical execution

  • High ownership and accountability

  • Strong communication and leadership skills

Success Metrics

  • Scalable and efficient SoC architectures across multiple generations

  • Achievement of performance, power, and cost targets

  • Strong alignment between architecture and silicon outcomes

  • Reduced architectural rework through early validation

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