Senior Silicon Emulation Engineer

What You'll Do

• Develop and maintain emulation platforms for AI accelerator / 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 Mythic 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

What We're Looking For

• Bachelor’s, Master's, or Doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
• Strong understanding of SoC architectures and AI accelerator design concepts
• Experience with RTL simulation and emulation (Verilog/SystemVerilog)
• Familiarity with hardware emulation platforms (e.g. 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…