Senior Silicon Emulation Engineer

Job Title

Senior Silicon Emulation Engineer

Role Summary

Join Mythic's Digital Design team to develop and maintain hardware emulation platforms for AI accelerators and AI-centric SoCs. The role enables early bring-up, software validation, and performance analysis of neural-network accelerators prior to silicon availability.

Experience Level

Senior. No explicit years-of-experience requirement provided.

Responsibilities

Primary responsibilities focus on building and operating emulation environments and supporting cross-functional HW/SW integration and performance analysis.

• Develop and maintain emulation platforms for AI accelerator and AI-centric SoCs.
• Integrate large-scale RTL (compute, DMA, memory subsystems, interconnects) into emulation environments.
• Enable early firmware, driver, runtime, and ML stack bring-up on emulated hardware.
• Support execution of AI inference workloads (e.g., CNNs, transformers) on emulated accelerators.
• Collaborate with compiler, runtime, and ML teams to debug HW/SW co-design issues.
• Develop scripts and automation for emulation builds, regressions, and workload execution.
• Analyze performance, bandwidth utilization, latency, and throughput of AI workloads in emulation.
• Debug complex issues spanning RTL, firmware, drivers, and user-space ML frameworks.
• Support post-silicon correlation and performance validation when applicable.
• Document emulation flows, performance methodologies, and debug procedures.

Requirements

Concise list of required technical skills and platform experience.

Must-have

• Strong understanding of SoC architectures and AI accelerator design concepts.
• Experience with RTL simulation and emulation (Verilog/SystemVerilog).
• Familiarity with hardware emulation platforms (for example, Cadence Palladium).
• Experience working in Linux-based environments.
• Proficiency in scripting (Python, Tcl, Bash).
• Strong debugging skills across hardware and software layers.

Nice-to-have

• Experience with NPU, DSP, or GPU-class accelerators.
• Experience running or debugging ML inference workloads on pre-silicon platforms.
• Knowledge of AI software stacks (runtime, compiler, graph execution).
• Familiarity with DMA engines, memory hierarchies, and high-bandwidth interconnects.
• Understanding of AXI/AMBA protocols and cache coherency.
• Experience with FPGA prototyping or hybrid emulation flows.
• Exposure to performance modeling or architectural trade-off analysis.

Education Requirements

Bachelor's, Master's, or Doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.

About the Company

Company: Mythic

Headquarters: Austin, Texas, USA

Mythic is revolutionizing AI computing through innovative analog technology, significantly enhancing performance compared to traditional digital systems. Their cutting-edge solutions cater to demanding applications in various sectors, including industrial, automotive, and aerospace. With over $100M raised from top investors, Mythic is poised to transform AI workloads and applications.