As a Deployment Engineer, you are the technical architect of a live customer site. You move beyond just "fixing" hardware to "optimizing" autonomy. You will lead the deployment lifecycle from the moment the hardware arrives until the customer signs off on a fully autonomous workflow. You will also be in charge of maintaining the fleet through tier 1 support and map maintenance.
You are the primary technical point of contact for the customer on-site for any issues and implementing their needs. You will work closely with the customer solutions team to prepare beforehand for the deployment and then on site to ensure vehicles are installed at the customer site as requested.
As part of this you will be a point of contact for the customer and a face of Cyngn to make sure they are comfortable using the vehicles. You will be the first to step in for needed fixes later and help with expansion and perfect use of the deployed fleets.
Responsibilities
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.
Deployment & Field Operations
Customer & Stakeholder Engagement
Troubleshooting & Support
Cross-Functional Collaboration
Qualifications
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
Bonus Qualifications
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
Physical Requirements
- [Hybrid/Field Based]--50%-75% Travel
- Prolonged periods of sitting, standing, and walking, including time at a desk and in industrial or customer environments.
- Frequent bending, stooping, kneeling, climbing, and reaching to install, maintain, and repair robots.
- Ability to lift and maneuver objects up to 80 lbs.
- Ability to operate hand tools, power tools, and testing equipment.
- Specific vision abilities required include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
- Ability to communicate clearly, hear, and respond effectively in noisy environments.
Benefits & Perks
- Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
- Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
- Company 401(k)
- Commuter Benefits
- Flexible vacation policy
- Remote or hybrid work opportunities
- Sabbatical leave opportunity after 5 years with the company
- Paid Parental Leave
- Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages
- Monthly meal and tech allowances for remote employees
Top Skills
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