Deployment Engineer

Lead end-to-end deployment of autonomous robotic systems at customer facilities.

Conduct site surveys and assess automation readiness, infrastructure constraints, and ODD requirements.

Generate 3D and semantic maps and validate localization and navigation performance.

Install, configure, calibrate, and commission robotic systems in live production environments.

Train customer operators, maintenance teams, and site stakeholders; manage handoff to support.

Work directly with the Customer Solutions Engineering team to take their designs in a handoff and perform a full implementation and betterment of these designs.

User Acceptance Testing (UAT): Define and lead the final testing phase during the implementation, proving to the customer that the system meets all safety and throughput Key Performance Indicators (KPIs). Perform the handoff and orientation of the vehicle with the customer as well as part of the handoff.

Act as the primary technical point of contact during deployments and early operations.

Work directly with customer IT teams to configure networks, resolve firewall/port issues, and ensure reliable connectivity.

Run regular performance reviews with customers, using data to drive operational improvements and adoption.

Head the deployment of the routes on site, and coordinate with the customer to make sure these routes remain optimized over time.

Analyze robot logs, sensor data, and system metrics using tools such as Foxglove, RViz, RQT_Bag, and PlotJuggler.

Diagnose hardware, software, perception, and infrastructure issues in the field.

Own incident resolution across Tier 1–3 support, ensuring fast MTTR and clear root-cause documentation.

Monitor fleet health and KPIs using Grafana and internal dashboards.

Provide structured feedback from the field to Product, Engineering, QA, and Perception teams.

Support validation activities including FoV studies, data collection, and perception audits.

Collaborate with OEM partners to integrate robotics hardware and software into new vehicle platforms.

Build and maintain scalable deployment playbooks, checklists, and Jira-based workflows.

Education: Bachelor’s or Master’s degree in Industrial Engineer, Robotics, Mechanical Engineering, Electrical Engineering, or a related field.

Experience: 3-5+ years in robotics, autonomous systems, or industrial automation. Experience as a Field Engineer, Customer Success Engineer, Integration Engineer, or similar is highly preferred.

Experience with autonomous vehicles, mobile robots, or drones is a requirement

Advanced Software Skills: Linux & ROS Proficiency: Deep comfort with ROS tools (rviz, rosbag, tf) for visualizing and debugging vehicle thoughts.

Professionalism: Exceptional communication skills. You must be able to explain "why the robot stopped" to a floor manager in a way that builds trust rather than confusion.

Physical Requirements: Ability to work in industrial environments (warehouses, yards) and travel up to 50-70% of the time.

Deployment Skills with Robotics: Robotics deployment, calibration, and troubleshooting

Network configuration and customer IT environments

Experience working directly at customer sites in manufacturing, logistics, or industrial environments

Ability to analyze logs, metrics, and sensor data to diagnose complex system issues

Comfortable with travel and working independently in the field

Familiarity with 3D LiDAR systems (e.g., Hesai, Ouster)

Experience with mapping, localization, and perception validation

Exposure to Grafana, Jira, TestRail, Docker, Git

Strong documentation and process-building mindset

Preferably based in the Eastern Time Zone