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SiMa.ai

No-code edge ML platform with MLSoC

Senior Staff Engineer, Hardware Design

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

About the Job

Requirements

  • A bachelor's or master's degree in electrical engineering, computer engineering, or a related field.
  • Eight to eleven years of professional experience in hardware IP design, SoC design, or a related area.
  • Strong understanding of CPU architecture and experience developing or maintaining CPU IP.
  • Experience with RTL design and SoC design methodology.
  • Experience across relevant parts of the design lifecycle, such as microarchitecture, synthesis, timing analysis, verification, emulation, physical design, or silicon bring-up.

Responsibilities

  • Own the RISC CPU core and drive its design, integration, and ongoing development.
  • Work with the architecture team to define and refine the CPU microarchitecture.
  • Modify and optimize the RISC CPU RTL to meet performance, functionality, and SoC integration requirements.
  • Review RTL and design changes for quality, correctness, and maintainability.
  • Perform or support synthesis, static timing analysis, equivalence checking, clock-domain crossing analysis, and linting.
  • Work with verification and emulation teams to resolve issues and support test and debug activities.
  • Collaborate with physical design teams on floor planning, timing closure, and other implementation needs.
  • Support IP integration, chip validation, bring-up, and characterisation.
  • Coordinate with the ML accelerator and SoC teams to ensure the RISC CPU IP meets system-level requirements.
  • Improve design methodology and flows for CPU IP development.

Desired Qualifications

  • Experience with RISC CPU cores.
  • Experience with ARM CPUs and associated bus protocols.
  • Experience integrating CPU IP into an SoC or working with accelerator-based systems.

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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