About us:
Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applicationswhether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from –40 °ree;C to +125 °ree;C, making it ideal for industrial, automotive, aerospace, and defense.
We’ve raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollarcustomer contracts across multiple markets.
Mythic's Digital Design Team is seeking aSilicon Emulation Engineerto support the development and validation ofAI accelerator and AI-centric SoCsusing hardware emulation platforms. This role is critical to enablingearly bring-up, software validation, and performance analysisof neural network accelerators prior to silicon availability. The engineer will work closely with RTL, verification, compiler, firmware, and ML software teams to ensure functional correctness, performance targets, and system-level integration of AI workloads.
What You'll Do
- Develop and maintainemulation platformsfor AI accelerator / AI-centric SoCs
- Integrate large-scale RTL (compute, DMA, memory subsystems, interconnects) into emulation environments
- Enableearly firmware, driver, runtime, and ML stack bring-upon emulated hardware
- Support execution ofAI inference workloads(e.g., CNNs, transformers) on emulated Mythic accelerators
- Collaborate with compiler, runtime, and ML teams to debugHW/SW co-design issues
- Develop scripts and automation for emulation builds, regressions, and workload execution
- Analyzeperformance, bandwidth utilization, latency, and throughputof 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 ofSoC architectures and AI accelerator design concepts
- Experience withRTL simulation and emulation(Verilog/SystemVerilog)
- Familiarity withhardware emulation platforms (e.g. Cadence Palladium)
- Experience working inLinux-based environments
- Proficiency in scripting (Python, Tcl, Bash)
- Strong debugging skills across hardware and software layers
Nice to Have
- Experience withNPU, DSP, or GPU-class accelerators
- Experience running or debuggingML inference workloadson pre-silicon platforms
- Knowledge ofAI software stacks(runtime, compiler, graph execution)
- Familiarity withDMA engines, memory hierarchies, and high-bandwidth interconnects
- Understanding ofAXI/AMBA protocolsand cache coherency
- Experience with FPGA prototyping or hybrid emulation flows
- Exposure to performance modeling or architectural trade-off analysis
The proposed salary range for this position is $120,000–$225,000 annually. Actual compensation depends on experience, skills, qualifications, and location.
At Mythic, we foster a collaborative and respectful environment wherepeople can do their best work. We hire smart, capable individuals, providethe tools and support they need, and trust them to deliver. Our team bringsa wide range of experiences and perspectives, which we see as a strength insolving hard problems together. We value professionalism, creativity, andintegrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
