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Mythic

Power-efficient edge AI processors for inference

Senior Staff / Staff Design for Testability Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A Bachelor’s, Master’s, or PhD degree in Electrical Engineering or Electrical and Computer Engineering.
  • At least 8 years of industry experience.
  • SoC-level experience in DFT methodologies, including memory repair, hierarchical DFT, IEEE 1687 iJTAG, scan, ATPG, and memory BIST.
  • Experience with SoC-level DFT integration, verification, DFT test suite development, and RTL design for DFT.
  • Experience with DFT strategies including scan insertion, TPI, SSN, hierarchical DFT, and ATPG.
  • Experience with pre-silicon test planning and verification strategy.
  • Adeptness at root cause analysis and resolving DFT implementation issues.
  • Good communication skills and ability to work in a worldwide team environment.
  • Experience working at startups.
  • Experience with low-power DFT solutions.
  • Experience working with STA teams to define DFT timing constraints.
  • Experience with ATE for bring-up, debugging, and yield improvement.
  • Proficiency with Synopsys TetraMAX or DFT Compiler, or Siemens/Mentor Tessent, and Verilog/SystemVerilog.
  • Scripting skills, including Perl, Tcl, or Python.

Responsibilities

  • Implement DFT features on Mythic chips.
  • Lead end-to-end DFT implementation and verification for complex ASIC/SoC designs.
  • Own all aspects of SoC DFT, including MBIST, IJTAG, scan, and ATPG.
  • Contribute to DFT methodologies and establish flows for DFT features such as MBIST, scan, and ATPG to enable first-pass success of chips.
  • Contribute to every phase of the design cycle, from concept to silicon.
  • Collaborate with RTL design, physical design, STA, and analog design teams.

Desired Qualifications

  • Knowledge of low-power concepts, clock gating, and power gating.
  • Past experience working on an AI processor design.
  • Knowledge of chiplet-based design limitations and their impact on physical design.
  • Experience with sub-10nm designs.
  • Familiarity and hands-on experience with Cadence toolsets.

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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