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Robust.ai

AI-powered robots for manufacturing and logistics

Senior Manufacturing Test Engineer

Quality EngineeringConfirmed live in the last 24 hours
Full-timeSan Carlos, CA, USAIn-person

About the Job

Requirements

  • At least 7 years of experience in manufacturing or production test engineering.
  • Strong experience with test design and development.
  • Proficiency in one or more programming or scripting languages, such as Python, C, C++, LabVIEW, or TestStand.
  • Solid understanding of mechatronic systems.
  • Experience with statistical analysis, yield monitoring, and statistical process control tools.
  • Ability to troubleshoot complex hardware and software issues in a production environment.
  • CAD experience and fixture design experience.
  • Experience with test framework design and deployment.

Responsibilities

  • Lead the specification, development, and validation of manufacturing tests.
  • Drive test yield improvement and defect reduction through test coverage, data analysis, and root cause investigation.
  • Own test hardware and software from concept through production release and sustaining.
  • Develop test documentation, including test plans and procedures.
  • Interface with contract manufacturers and vendors to ensure test capability, scalability, and consistency.
  • Communicate lessons learned to hardware and partner engineering teams to improve the product and its manufacturability, quality, and reliability.

About the Company

Robust.ai

AI-powered robots for manufacturing and logistics

Robust.AI creates AI-powered robotic systems for manufacturing and warehouse logistics. The core products are collaborative robots that work alongside humans to handle dynamic, changing workflows in facilities like warehouses and factories. These systems typically include autonomous robotic fleets, sensors, and software that coordinates tasks, ensuring safe interaction with people and adapting to different tasks in real time. The company earns revenue by selling robotic hardware and by offering ongoing service and maintenance contracts. Its approach centers on integrating intelligent automation with existing operations to improve productivity, safety, and efficiency, with notable clients such as DHL Supply Chain. The goal is to help businesses reduce operating costs and increase throughput by deploying adaptable, scalable robotic solutions that fit varied industrial environments.

Company size
51-200
Company stage
Series A
Total funding
$42.5M
Headquarters
San Carlos, CA
Founded
2019

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