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# Robot Application Software Engineer

- **Company:** Optimal Inc.
- **Location:** Warren County, NJ, United States
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Software Applications, Cloud Computing, Databases, Data Infrastructure, Software Debugging, Linux, Operational Databases, Systems Development Life Cycle, Software Engineering, TypeScript, Management of Software Versions, Web Application Frameworks, ReactJS, Git, AngularJS, Information Technology, Data Management, Front End Software Development, Data Pipelines, Docker
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/robot-application-software-engineer-warren-pa--f3b520ef-50a4-4f4b-ac03-a4a8aea19e75

## About the Role

Software Engineering, Robotics, Docker, Git, On Call, Telemetry, Vehicle Fleets, React.js, Scalable System Development, Reporting Dashboards, robots across GM plants, and future deployments.Ship production-grade software with strong ownership of versioning, change control, observability, debugging, and on-call support to minimize factory downtime.Required Skills / Experience:UI/Frontend Technologies: Mastery of JavaScript/TypeScript and modern frameworks like React or Angular to build responsive, data-heavy web interfaces.Hands on Linux, Docker (for containerized deployments), and Git for version controlWorking knowledge of ROS 2 and robotics autonomy software.Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field

## Description

Robot Application Software EngineerKey ResponsibilitiesDevelop and enhance the AME(Autonomous Mobile Equipment) data platform, including the data portal, dashboards, bot/version tracking, regression reporting, and developer-facing tools.Build scalable cloud compute and data pipeline capabilities for robot telemetry, calibration/config uploads, automated reporting, and production analytics.Support OTA and ROC integration by connecting robot software release data, operational status, remote support workflows, and fleet-level diagnostics into the AME data ecosystem.Maintain and improve production data infrastructure across live plants, including database reliability, upload pipelines, data quality monitoring, and incident response.Supporting AME GUI development where needed, including operator-facing dashboards, diagnostics views, fleet tools, and data-heavy web interfaces.Partner with autonomy, deployment, ROC, OTA, and plant teams to scale AME software/data capabilities for 300+ production