Job Description

We're looking for a

Lead Deployment Engineer

who will own the

end-to-end deployment, testing, and field performance

of our robots at customer sites. You'll bridge hardware, software, and operations -- ensuring each robot is field-ready, stable, and performing to spec.

Requirements

Robot Deployment & Commissioning

+ Lead end-to-end deployment of robots at customer sites (primarily in the US). + Perform on-site calibration, bring-up, and verification of robot subsystems -- navigation, manipulation, perception, and control.
+ Ensure successful commissioning, handover, and acceptance with customers.

System Debugging & Maintenance

+ Diagnose and resolve hardware, software, and network-level issues during deployment. + Capture and analyze logs, metrics, and sensor data to identify and fix root causes.
+ Collaborate with software and hardware teams to validate solutions.

Quality Assurance and Validation

+ Execute structured QA tests on robot hardware and software before release. + Validate performance metrics such as uptime, repeatability, and navigation reliability.
+ Maintain test reports and site-validation documentation.

Experimentation and Field Improvements

+ Run field experiments to validate perception, planning, and control improvements. + Provide structured feedback to influence hardware and software roadmaps.
+ Support data collection for model retraining and algorithm optimization.

Minor Bug Fixes & Patch Management

+ Identify and fix simple bugs directly on-site (ROS 2 nodes, Python/C++). + Collaborate with internal teams to test and validate updates in live environments.

###

Required Skills & Experience

4 + years of hands-on experience deploying autonomous or semi-autonomous robots in production environments (AMRs, manipulators, or field robots). Strong proficiency in

ROS 2 (Humble or later)

, including

Nav2

and

MoveIt 2

. Exposure to

Isaac Sim

,

RViz

, or

Gazebo

for validation and visualization. Solid debugging skills in

Python/C++

for system-level and ROS node-level issues. Experience with

sensor calibration

(LiDAR, IMU, camera) and hardware bring-up. Familiarity with

robot networking

, telemetry, and remote diagnostics. Prior experience deploying robots

in the USA

or working with US-based customers. Valid

B1/B2 visa

(preferred).
###

Preferred Skills

Experience with mobile manipulation systems or multi-sensor fusion. Familiarity with industrial finishing, coating, or surface-treatment systems. Strong communication and reporting skills for field feedback and customer interactions.

Benefits

Work on

real robots deployed at real sites

-- not just lab demos. Be part of one of India's most

talent-dense robotics teams

from IITs, IISc, and leading global universities. Help scale cutting-edge autonomous systems that redefine construction automation. * Competitive compensation, international travel exposure, and rapid growth opportunities in a deep-tech environment.