Senior Silicon Emulation Engineer
Education Requirements:
Bachelor’s, Master's, or Doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
Experience Requirements:
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)
Other Requirements:
Strong debugging skills across hardware and software layers
Nice to have: Experience with NPU, DSP, or GPU accelerators, running/debugging ML inference workloads, AI software stacks, AXI/AMBA protocols, FPGA prototyping
Responsibilities:
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
Analyze performance, bandwidth utilization, latency, and throughput of AI workloads in emulation
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