
11 - 50 employees
Founded 2012
🤖 Artificial Intelligence
🔧 Hardware
💰 $70M Series C on 2021-05
Artificial Intelligence • Hardware • Robotics
Mythic is the leading high-performance analog computing company that focuses on delivering cost-efficient and energy-efficient edge AI computing power across various sectors including robotics, defense, and consumer devices. The company's innovative compute-in-memory technology solves the limitations of traditional digital computing by storing AI parameters directly in the processor, significantly enhancing AI inference applications. Mythic aims to empower industries with advancements in performance scalability and efficiency, providing a robust platform for the next generation of AI applications.
🕒 March 19
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11 - 50 employees
Founded 2012
🤖 Artificial Intelligence
🔧 Hardware
💰 $70M Series C on 2021-05
Artificial Intelligence • Hardware • Robotics
Mythic is the leading high-performance analog computing company that focuses on delivering cost-efficient and energy-efficient edge AI computing power across various sectors including robotics, defense, and consumer devices. The company's innovative compute-in-memory technology solves the limitations of traditional digital computing by storing AI parameters directly in the processor, significantly enhancing AI inference applications. Mythic aims to empower industries with advancements in performance scalability and efficiency, providing a robust platform for the next generation of AI applications.
• 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
• 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
Apply Now🕒 March 18
1001 - 5000
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