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.

Skills Required