Emulation Engineer
MatXAbout the role
<p><strong>What MatX Is Building</strong></p> <p>MatX is on a mission to be the compute platform for AGI. We are developing vertically integrated full-stack solutions from silicon to systems including hardware and software to train and run the largest ML workloads for AGI. MatX is seeking Emulation engineers to join our team as we create best-in-class silicon for high-performance and sustainable GenAI. Successful candidates for these roles will be responsible for delivering performant and functionally accurate silicon for MatX products across compute, memory management. High-speed connectivity and other key technologies.</p> <p>We're hiring a Senior/Staff Emulation Engineer to build the infrastructure, flows, and debug methodology behind our advanced connectivity SoCs. The role sits in the Emulation team, but the impact is broader: you'll create reusable flows that span emulation, SoC simulation, firmware/software bring-up, and post-silicon validation.</p> <p>We're looking for a <strong>multi-disciplinary engineer</strong> with an out-of-the-box, can-do mindset — someone who sees a gap and builds the bridge, comfortable moving between RTL, software, tooling, system debug, and vendor flows. You don't need to be an expert in every area listed below. You do need a reuse-first mindset, strong software instincts, and the ability to learn quickly across boundaries.</p> <p><strong>What You'll Do Here</strong></p> <ul> <li>Define and execute emulation strategy and test plans for complex connectivity SoCs.</li> <li>Bring up and debug large-scale models on commercial emulation platforms such as Cadence Palladium, Zebu or Veloce.</li> <li>Integrate external components such as SpeedBridge and VirtualBridge adapters, Accelerated VIP, and memory models — for PCIe, HBM4, Ethernet, AXI/AMBA, JTAG, and (Q)SPI. And build custom transactors where needed. </li> <li>Develop HW/SW co-emulation and co-simulation flows using RTL, software/reference models (Rust, C/C++, SystemC), firmware, and software tests.</li> <li>Build reusable transactors, agents, stubs, bridges, checkers, and acceleration flows — including developing new transactors and agents from scratch when off-the-shelf options don't fit.</li> <li>Drive emulation speed-ups and resource utilization — compile-time reduction, partitioning, clocking strategy, regression scheduling, multi-user capacity, and waveform/trace management.</li> <li>Build automation for regression triage, debug, model usability, and engineering productivity.</li> <li>Go beyond prompting with AI — build practical LLM-based tooling for log analysis, waveform triage, debug assistance, and flow generation, including custom skills, agents, rules, and workflows that fit our engineering stack.</li> <li>Collabora
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