Modelling Lead (SystemC / Virtual-Platform Architect)

The role

You will build the executable model of the chip before silicon exists. You will develop a SystemC/TLM-2.0 virtual platform, architecture/performance models, and golden reference models.

What you will do

• Build a SystemC/TLM-2.0 virtual platform including MCU, peripherals, memory map, UCIe transactor, and host stub
• Perform architectural trade studies, end-to-end datapath throughput and latency, FIFO/buffer sizing, and design-space/configuration exploration
• Provide golden reference models to DV as scoreboards
• Create behavioral models of the analog and control circuits
• Partner with the FE architect and firmware lead to keep model, RTL, and firmware views coherent

Required 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
• Comfortable spanning hardware micro-architecture and embedded software

Nice to have

• Familiarity with High-speed serial links and die-to-die / chiplet interconnects, and link-layer concepts such as FEC and equalization (e.g., PCIe, UALink, Ethernet or memory-semantic interconnects lik
• Experience feeding golden models into a UVM/DV verification flow
• Modelling for mixed-signal or optical/SerDes systems, including control-loop / plant modelling
• High-throughput datapath modelling

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

About the company

Lumilens is building photonics infrastructure for AI supercomputing, including chip-to-chip optical interconnects and scalable photonic engines. It is a well-funded startup backed by Mayfield.