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SiMa.ai

No-code edge ML platform with MLSoC

Principal Engineer - Emulation

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • A master's degree in Computer Science or Electrical Engineering and 12+ years of experience in emulation.
  • Experience with emulator flows and methodology, preferably Synopsys Zebu.
  • Working experience in Verilog and SystemVerilog.
  • Experience coding in C/C++, TCL, Python, and Perl using Agentic AI.
  • Ability to work with cross-functional teams.
  • Debugging, coding, and problem-solving skills using Agentic AI.

Responsibilities

  • Set up the emulation environment, including porting SoC/IP RTL to the emulation platform, implementing emulation setup with transactors or bus functional models (BFMs), implementing emulation sanity tests, and enhancing or maintaining existing compile scripts.
  • Bring up external interfaces, including PCIe, Ethernet, and other standard interfaces, on emulation platforms.
  • Develop emulation test-case scenarios.
  • Run software test cases on the emulator and enable different debug options.
  • Work with internal teams to root-cause and resolve failures.
  • Work with emulator vendors to enable new features and debug tool issues.
  • Enable the software team to use the emulator.

Desired Qualifications

  • Knowledge of PPA.

About the Company

SiMa.ai

No-code edge ML platform with MLSoC

SiMa.ai provides a no-code, drag-and-drop environment for building, training, and deploying machine learning models on edge devices. Its platform lets users visually assemble ML solutions without writing code, and runs on its own MLSoC silicon designed for edge computing to reduce latency and speed up inference close to data sources. The product works by combining the no-code development tools with specialized edge-ready hardware, enabling deployment of ML applications such as computer vision on edge devices. SiMa.ai differentiates itself from competitors by pairing a purpose-built MLSoC with an integrated no-code development platform, plus an ecosystem of a developer portal, expert consulting, and a partner program to accelerate AI innovations at the edge. The company aims to broaden access to edge ML, helping individuals and organizations deploy efficient AI at the edge across various industries.

Company size
201-500
Company stage
Series C
Total funding
$495M
Headquarters
San Jose, CA
Founded
2018

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