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Modelling Lead (SystemC / Virtual-Platform Architect)

Lumilens· Engineering
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Bengaluru, IndiaFull-timePosted 2mo ago

About the role

Role leading the development of executable SystemC/TLM-2.0 virtual platforms for pre-silicon firmware bring-up, focusing on architecture, performance modeling, and golden reference models to enable parallel firmware and RTL development.

Responsibilities

  • A SystemC/TLM-2.0 virtual platform — MCU (ISS-backed) + peripherals + memory map + a UCIe transactor + host stub — that firmware runs on pre-RTL.
  • Architecture/performance models: architectural trade studies, end-to-end datapath throughput and latency, FIFO/buffer sizing, design-space/configuration exploration.
  • Golden reference models handed to DV as scoreboards.
  • Behavioral models of the analog and control circuits.
  • Partner with the FE architect and firmware lead to keep model, RTL, and firmware views coherent.

Qualifications

  • 8+ years in architecture/performance modelling or virtual-platform development for complex SoCs.
  • Strong SystemC and TLM-2.0; solid modern C++.
  • Built or led a virtual platform / ESL model that real firmware ran on for pre-silicon bring-up.
  • Integrating a third-party ISS (e.g., Arm or RISC-V) into a SystemC/TLM platform; modelling buses, memory maps, and peripherals.
  • Architecture/performance modelling judgment — knowing what to abstract versus model faithfully.
  • Comfortable spanning hardware micro-architecture and embedded software.

Skills

Required:SystemCC++virtual platform development

Benefits

  • Competitive salary commensurate with experience
  • Comprehensive benefits package including health, dental, and vision
  • Professional development opportunities and certification support
  • Access to cutting-edge technology and cloud platforms
  • Collaborative work environment with cross-functional teams
Last updated Sep 5, 2026. Interested? Apply on the company site.

About Lumilens

Connectivity Platform for AI

Lumilens provides next-gen photonic interconnects for massively scaling out – and scaling up – AI compute infrastructure.

Photonic InterconnectsNext-Gen ManufacturingSystem-level knowledgeLumicore platformCPO/SiPh manufacturing
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