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SiMa.ai

No-code edge ML platform with MLSoC

Member of Technical Staff, Physical Design

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

About the Job

Requirements

  • A BE/BTech and at least 10 years of experience on high-complexity SoC designs, including at least one SoC at 7nm or lower.
  • Knowledge of strategies for creating an IO ring in accordance with design specifications.
  • Knowledge of ESD, latch-up, other foundry requirements, and placement strategies.
  • Knowledge of PG creation and push-down methodologies.
  • Understanding of analog components and their placement requirements according to design specifications.
  • Knowledge of RDL and experience working with packaging for SoC floorplan design.

Responsibilities

  • Perform hands-on testchip, SoC, and full-chip floorplanning, integration, place-and-route, and place-and-route flow development.
  • Establish die integration plans optimized for package and board constraints.
  • Plan bumps, generate die files, and coordinate with the package team on signal and power bump placement restrictions.
  • Derive specifications and collateral for IP blocks to enable floorplanning and automatic place-and-route at subsequent hierarchies.
  • Maximize die per reticle and good dies per wafer, and select technologies to maximize metal-layer usage.
  • Integrate all dies in a package and complete relevant checks before tape-out.

Desired Qualifications

  • In-depth knowledge of physical verification tools such as Synopsys ICV and Calibre Physical Verification Tools.
  • Knowledge of package physical-verification checks, IO/bump physical-verification cleanup, and physical-verification rules such as antenna, density, DFM, DFY, and DPT at technology nodes of 7nm or less.

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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