M

Mythic

Power-efficient edge AI processors for inference

Senior Digital Verification Engineer

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

About the Job

Requirements

  • Bachelor’s, Master’s, or Ph.D. degree in Electrical Engineering.
  • 5+ years of industry experience developing verification testbenches.
  • Knowledge of verification methodologies (UVM or similar).
  • Solid understanding of computer architecture, including datapaths, memory hierarchies, and interconnects.
  • Experience verifying one or more of the following: scheduling subsystems, high-performance interconnects, DMA engines, or memory subsystems.
  • Understanding of Verilog, SystemVerilog, and UVM.
  • Knowledge of coverage-driven verification and advanced stimulus generation techniques.
  • Proven track record of first-pass silicon success.
  • Strong communication skills, both written and spoken.

Responsibilities

  • Hands-on system-level and block-level verification.
  • Development of test plans and coverage plans.
  • Testbench development and execution using UVM or other advanced DV methodologies.
  • Creation of verification infrastructure and flows.
  • Leverage architecture models to help verify large AI network functionality on the design.
  • Collaborate with RTL designers and architects to verify subsystems such as scheduling fabrics, interconnects, DMA engines, and memory controllers.

Desired Qualifications

  • Exposure to formal verification methods and tools.
  • Familiarity with power-aware and performance-driven verification flows.
  • Prior experience verifying AI, DSP, or other highly parallel architectures.
  • Strong scripting skills (Python or similar) for automation and infrastructure development.

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

Recently Posted Jobs

Explore more opportunities at Mythic

See more jobs