Senior Software Engineer - Virtual Hardware Modeling

Senior Virtual Hardware Modeling Engineer (SystemC / C++)

📍 Location: San Jose, CA  (Onsite role)
💼 Type: Long term contract
🏢 Industry: Custom Silicon | AR/VR | SoC Architecture

Job Description

We are looking for a Senior Virtual Hardware Modeling Engineer to develop high-fidelity SystemC/TLM virtual platforms for next-generation custom AR/VR SoCs. This role focuses on C++-based hardware modeling that enables early system software and firmware validation, architecture exploration, and performance/power analysis.

You will work closely with silicon architects, verification engineers, and firmware teams to model complex SoC components including processors, memory subsystems, interconnects, and custom hardware accelerators.

Key Responsibilities

• Design and develop SystemC / TLM models representing complex SoC architectures

• Model and integrate CPUs, DSPs, NoC, DMA engines, MMUs, cache hierarchies, and memory controllers

• Integrate first-party and third-party vendor IP models into a unified virtual platform

• Develop automated workflows ensuring register-level accuracy and CI-friendly integration

• Collaborate with architecture, design, and verification teams to build high-performance C++ models

• Enable early firmware and system software validation on virtual platforms

• Instrument models for performance and power analysis to support architecture trade-off decisions

Required Skills (Mandatory)

• 7–10+ years of overall experience, with 5+ years in SoC or hardware modeling

• Expert-level modern C++ (EDA, simulation, or chip-design domains)

• Hands-on experience with SystemC / TLM

• Experience with Virtual Platform tools, such as:

  • Synopsys Virtualizer

  • Cadence Virtual Platform

  • ARM Fast Models

  • Imperas OVP

• Strong understanding of SoC architectures, including:

  • ARM / RISC-V / Xtensa processors

  • Network-on-Chip (NoC)

  • MMU, address translation

  • Cache and memory hierarchy modeling

• Experience with C++ concurrency (threads, atomics, memory ordering)

Nice to Have

• Experience with performance and power modeling

• Exposure to firmware or low-level system software enablement

• Python for automation, integration workflows, and tooling

• Experience with custom hardware accelerators (ML, vision, graphics)

Education

• Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent experience

Why Apply?

• Work on state-of-the-art custom silicon

• Influence early SoC architecture decisions

• Collaborate with elite teams across hardware, firmware, and software

• Be part of next-generation AR/VR technology