Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
We’re hiring a Forward Deployment Robotics Engineer based in New York to support robot deployments, data capture, and teleoperation workflows.
This is a hands-on, on-site role. You will be the person physically present during deployments — making sure robots are set up correctly, running smoothly, and capturing data according to requirements.
You’ll work closely with customers, remote engineering teams, and teleop operators to keep deployments moving and issues resolved in real time.
What You'll DoRobot Deployment & On-Site SupportGo on-site for robot deployments, pilots, and tests
Ensure robots are properly set up, calibrated, and operational
Troubleshoot hardware, software, and networking issues on site
Act as the on-site technical owner during deployments
Lead on-site data capture during robot operation
Ensure data is captured correctly, consistently, and at required quality
Monitor sensors, cameras, telemetry, and logs during capture sessions
Identify and resolve issues that could impact data quality
Support teleoperation workflows during deployments
Coordinate with remote teleop operators and engineering teams
Assist with setup, testing, and monitoring of teleop systems
Escalate issues clearly and quickly when needed
Serve as the local point of contact in New York
Provide clear updates on deployment status and issues
Document problems, fixes, and learnings from the field
Help improve deployment and data capture processes over time
Prior experience as a field technician, field engineer, or on-site support at a robotics company
Hands-on experience supporting real robot deployments
Experience leading or supporting data capture operations
Familiarity with teleoperation systems or remote robot operation
Comfortable working with Linux-based systems, cameras, sensors, and networking
Highly hands-on and comfortable working on-site
Calm under pressure and able to troubleshoot in real time
Detail-oriented and quality-focused
Clear communicator between field teams and remote engineering
Willing to travel locally to deployment sites as needed
Be directly involved in real-world robotics deployments
Own on-site execution and data capture quality
Work closely with cutting-edge robotics systems and teams
High responsibility and autonomy in a fast-moving environment
If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.
We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.
Skills Required
- Prior experience as a field technician, field engineer, or on-site support at a robotics company
- Hands-on experience supporting real robot deployments
- Experience leading or supporting data capture operations
- Familiarity with teleoperation systems or remote robot operation
- Comfortable working with Linux-based systems
- Experience working with cameras, sensors, and telemetry
- Ability to troubleshoot hardware, software, and networking issues on site
- Willingness to be on-site in New York and travel locally to deployment sites as needed
What We Do
Mecka AI is a data and infrastructure company that provides high-quality human movement data to accelerate the development of autonomous systems for humanoid robotics. It serves as the data and deployment layer for physical AI, capturing, structuring, and evaluating real-world activity to create labeled datasets that enable robots to learn and deploy reliably in commercial settings.








