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Path Robotics

Autonomous robotic welding systems provider

Software Engineer - Fleet Platform

Platform EngineeringConfirmed live in the last 24 hours
Full-timeColumbus, OH, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • At least 2 years of experience in production support, development, and DevOps practices.
  • Understand the relationship between product features and underlying infrastructure, and apply software development best practices such as reusable code and automated testing to platform engineering.
  • Be proficient in managing cloud environments using AWS and understand multi-account deployments.
  • Have hands-on experience or a strong interest in tools for remote robotics tooling, such as Foxglove or Rerun.
  • Have experience with enterprise authentication and authorization and understand secure identity management at scale.
  • Troubleshoot complex, distributed issues and automate manual tasks.

Responsibilities

  • Build and scale configuration management processes to support the robotic fleet.
  • Automate complex infrastructure processes, including enterprise-scale AWS account management and deployments.
  • Design and maintain over-the-air software deployment systems to ensure seamless updates across robotic assets.
  • Support the migration and management of enterprise-level authentication and authorization for internal and external applications.
  • Implement and enhance robotics observability tooling, such as Foxglove, to improve robot-to-cloud integration and monitoring.
  • Develop automated incident reporting and escalation tooling to proactively identify and resolve production issues.
  • Collaborate with product engineers to ensure the platform meets the needs of the robotic fleet and the applications that interface with it.

About the Company

Path Robotics

Autonomous robotic welding systems provider

Path Robotics builds autonomous robotic welding systems for manufacturers. Its welding cells run on Obsidian, a physical AI model for welding trained inside the Weld World Model, a neural network simulator created from tens of millions of welded inches of fleet weld data. Cameras and lasers around the torch scan each part, identify seams, plan weld paths, and adapt in real time to part variation and imperfect fits, with no programming required by the user. The product line includes the AW-3 cell for large parts, the AF-1 cell that autonomously picks, fits up and welds small parts, and Rove, a mobile welding robot. Customers are fabricators and manufacturers with high-mix production, with focus on defense and shipbuilding, utility and energy infrastructure, and data center structures. Path offers its cells as robots-as-a-service with no upfront capex, a recurring fee, and 24/7 remote mission control support.

Company size
201-500
Company stage
Series E
Total funding
$589.7M
Headquarters
Columbus, OH
Founded
2014

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