Deployment Engineer

Cyngn

2d • $90,000 - $112,000 • Hybrid

About The Position

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.

Requirements

• 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.
• 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

Nice To Haves

• Experience with autonomous vehicles, mobile robots, or drones
• 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

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 overtime.
• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees