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Kandou AI

Provides chip-to-chip AI connectivity solutions

EDA/CAD Engineer

Hardware EngineeringPosted on Nov 13
Full-timeNo salary listed

About the Job

Requirements

  • A Bachelor or Master of Science degree in Electrical Engineering, Computer Engineering, or Computer Science.
  • At least 10 years of EDA/CAD engineering experience supporting analog and digital integrated-circuit design teams.
  • Experience with advanced technology nodes and their associated process design kits (PDKs).
  • Practical knowledge of industry-standard methodologies, tool licensing, revision control, and release management.
  • Hands-on expertise with Cadence Virtuoso Schematic/Layout, ADE, Spectre/APS/AFS, Siemens Calibre, Cadence Pegasus, Cadence Quantus, Synopsys Design Compiler and IC Compiler II, and Cadence Innovus.
  • Experience with Git and Cliosoft for data management, multi-project and multi-discipline flow setup, and database tagging.
  • Programming skills in Shell, Python, Perl, Tcl, and SKILL; ability to develop simple graphical user interfaces and use Make-based build automation.
  • Understanding of the full chip-design lifecycle and digital, analog, and mixed-signal integrated-circuit design flows.
  • Proficiency in EDA/CAD flow development while balancing quality, schedule, and compute-efficiency needs.
  • Ability to learn, maintain, and enhance complex software design tools.
  • Ability to communicate and collaborate with engineering teams and vendors.
  • Ability to solve problems and prioritize and manage multiple tasks in a fast-paced environment.

Responsibilities

  • Manage and maintain the integrated analog/digital EDA environment, including installation, configuration, and support of tools such as Cadence Virtuoso, Synopsys platforms, and Siemens Calibre/AFS.
  • Design, automate, and validate CAD flows for simulation, physical verification, parasitic extraction, and reliability analysis.
  • Guide analog and digital design engineers, troubleshoot tool issues, and optimize design methodologies for performance and quality.
  • Act as the primary technical contact with EDA vendors to resolve complex issues, drive bug fixes, and evaluate new versions and features.
  • Contribute to installation, qualification, and deployment of PDKs for advanced technology nodes.
  • Create and maintain documentation, training materials, and scripts to help teams use tools and flows effectively.
  • Identify productivity bottlenecks and implement solutions to improve productivity, accuracy, and turnaround time.

About the Company

Kandou AI

Provides chip-to-chip AI connectivity solutions

Kandou AI designs and sells semiconductor connectivity hardware for AI workloads. It provides a memory fabric and CXL controllers that link processors to memory, enabling scalable, energy-efficient AI inference and training clusters built from affordable hardware. Using Copper MIMO interconnect, it reduces energy per bit and supports features like offloading AI training collectives, switchless memory for in-memory databases, and field-repairable co-packaged optics for better cooling. By targeting the data-movement bottleneck between processors and memory and offering chiplet-based fabrics and IP licensing, Kandou AI aims to make scalable AI infrastructure more accessible to hyperscalers, data centers, and system integrators.

Company size
201-500
Company stage
Late Stage VC
Total funding
$504.7M
Headquarters
Lausanne, Switzerland
Founded
2011

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