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Motivo

AI-powered analytics optimizing IC design yield

Mechatronics Engineer

Design EngineeringConfirmed live in the last 24 hours
Full-timeRancho Dominguez, Compton, CA, USAIn-person

About the Job

Requirements

  • Baseline proficiency and/or professional experience within electrical, mechanical, and/or software engineering.
  • Within electrical engineering, relevant skills may include hardware design involving printed circuit boards, wire harnesses, or electronic systems; debugging, bench testing, and soldering; and/or firmware development using C/C++, controls, test scripting, or version control.
  • Within mechanical engineering, capabilities may include mechanism design involving planning, modeling, and verification; prototyping, fabrication, and testing; and/or static, dynamic, or thermal analysis.
  • Within software engineering, the ability to write maintainable code for systems that perceive and interact with their environment through an embedded processor, programmable logic controller, or computer system; interact with users through frontend development for mobile devices, local computers, or web servers; or manage data on the backend through API development and database management.
  • The ability to contribute meaningfully within at least two engineering disciplines.

Responsibilities

  • Own ideation and feature definition, system-level design, client and vendor relationships, and hands-on hardware bring-ups.
  • Contribute to product strategy and viability in collaboration with clients and senior company stakeholders.

Desired Qualifications

  • Modeling and describing physical systems in mathematics and code is particularly useful in many robotics programs.

About the Company

Motivo

AI-powered analytics optimizing IC design yield

Motivo provides AI-driven analytics for the semiconductor design and manufacturing process. Its software analyzes the full chip workflow from RTL to layout using a proprietary learning-on-graph approach (M-Graph) to automatically extract data-driven features. Its modules include M-DVP for accelerating design validation, M-TCO for faster timing convergence, and M-OPT for improving manufacturing yield. The system offers explainable AI to identify root causes of yield problems and prescribes actionable steps, helping teams reduce design validation time and increase yield. Motivo differentiates itself with end-to-end, data-centric optimization that spans design and manufacturing, grounded in graph-based learning and an emphasis on explainability. The company aims to help fabless design houses and other semiconductor firms shorten development cycles and lower costs when designing and ramping up new chips.

Company size
1-10
Company stage
Series A
Total funding
$20.5M
Headquarters
Palo Alto, CA
Founded
2015

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