Deployment Engineer, North America

Location: United States

Department: Customer Success

Locus Robotics is transforming how the world’s leading brands run their warehouses, using AI and advanced robotics to move faster, smarter, and more efficiently than ever before. Our LocusONE platform powers autonomous mobile robots that integrate seamlessly into existing operations, helping teams scale quickly, reduce costs, and keep up with growing demand.

Trusted by more than 150 leading retail, healthcare, 3PL, and industrial organizations across 350+ sites worldwide, we deliver real, measurable impact every day. Our Robots-as-a-Service model removes barriers to adoption and drives continuous innovation, giving customers the flexibility to adapt as their operations evolve. At Locus, you are working on technology that is actively reshaping supply chains and solving complex, real-world challenges at scale.

Ready to combine advanced robotics, real-world impact, and nationwide travel? As a Deployment Engineer at Locus Robotics, you’ll be hands-on with autonomous mobile robots in some of the largest fulfillment centers across the U.S., Canada, and Mexico. You’ll map, configure, and launch mission-critical automation systems while building strong customer relationships and seeing the results of your work in real time. 

This role requires extensive travel (up to 90%) across the U.S., Canada, and Mexico, and candidates must reside near a major airport to support frequent travel needs.

Responsibilities

• Implement and deploy complex robotic order fulfillment solutions at customer sites, including the installation and integration of robotic hardware, software, and supporting server infrastructure.
• Create and configure SLAM-based maps of warehouse fulfillment centers using AutoCAD or similar CAD software, ensuring accurate representation of the operational environment.
• Manage onsite customer relationships, coordinating effectively with both internal teams and external stakeholders to ensure alignment and project success.
• Assist with infrastructure setup, robot and software configuration, and provide support during the initial system deployment phase.
• Provide on-site customer support following system installation to ensure smooth operation and address any initial issues or adjustments.
• Perform other duties as required. 

 Qualifications

• Bachelor’s degree in Robotics Engineering, Computer Science, Engineering, or related technical field.
• 1+ years of experience working with Autonomous Mobile Robots (AMRs), with demonstrated expertise in deploying warehouse software or logistics systems.
• Must hold a valid passport and the ability to travel throughout the U.S., Canada, and Mexico as needed to support deployments and customer engagements.
• Strong experience with Linux or Unix systems, ROS (Robot Operating System), and SLAM-based navigation.
• Deep familiarity in warehouse/fulfillment center mapping.
• Technical knowledge of IT or complex professional systems deployment.
• Ability to lift, pull, and push up to 50lbs.
• Self-motivated and able to solve problems independently and in customer settings.
• Demonstrated proficiency in Spanish (written and verbal) required to effectively communicate with Spanish-speaking clients and team members.
• Excellent written and verbal English communication skills, with the ability to effectively engage with internal and external stakeholders at all levels of the organization. 

Additional Details 

Locus Robotics is an equal opportunity employer.

The expected base salary range for this role is $50K to $100K annually, based on external market data, plus bonus and equity. Actual offers will depend on factors such as the candidate’s experience, education, training, key or critical skills, geographic location, and current market and business conditions.

Application Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law.