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Mythic

Power-efficient edge AI processors for inference

Senior SoC RTL Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • BS/MS/PhD in EE/CS/CSE
  • 3+ years of industry experience
  • RTL, microarchitecture, and architecture experience on advanced SoCs
  • Experience with Design for Test (DFT) and Design for Debug (DFD) logic such as fuse controllers, memory BIST, scan dump, etc.
  • Experience with clocking and reset methodologies
  • Understanding of timing constraints

Responsibilities

  • The primary responsibility for this position is digital RTL design of Mythic's chips, but we are looking for individuals with strong computer architecture knowledge as well.
  • You will be the owner of all aspects of design and development for system-level blocks which form the SoC infrastructure.
  • You will need to contribute, and ideally, have great ownership of, the architecture, microarchitecture, and RTL for a large high-performance system.
  • Additionally, beyond defining what functionality these blocks provide, you will help drive methodologies to establish and enable first-pass success of these chips.
  • Beyond digital RTL design for our novel chip architecture, this role also presents a unique opportunity to get involved with and learn more about state-of-the-art deep neural networks (DNNs).
  • You will also be collaborating with the system architecture, software, DFT, and analog design teams at Mythic.

Desired Qualifications

  • Experience working at startups
  • Experience with RTL design for clock domain crossings
  • Experience with Python or Ruby
  • Experience working with a regression system
  • Experience working with a revision control system
  • Comfortable working from command line

About the Company

Mythic

Power-efficient edge AI processors for inference

Mythic designs power-efficient AI hardware for edge deployments. Its main products are the M1076 Analog Matrix Processor, a single-chip accelerator that can run at up to 25 TOPS, and the MP10304 Quad AMP PCIe card, which adds more performance for AI inference on edge devices and servers. The hardware uses analog matrix processing to perform AI computations with low energy usage, enabling high-performance inference in real-world environments without relying on cloud servers. Mythic targets customers that need strong AI performance with tight power budgets, such as tech companies and other businesses with heavy data-processing needs. Compared with typical AI accelerators, Mythic emphasizes analog computation and edge efficiency, offering a compact single-chip solution plus an expansion PCIe card to scale performance. The company's goal is to make high-performance AI inference practical at the edge by delivering power-efficient processors and modules for edge devices and servers.

Company size
51-200
Company stage
Late Stage VC
Total funding
$290.4M
Headquarters
Austin, TX
Founded
2012

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