Robotics Software Testing Engineer

ERIC Robotics; Maharashtra; On-site; INR 900,000 - 1,300,000; Full time

Benefits offered by this job

Real-world robotics deployment experience

Direct work with ML and robotics teams

Strong learning and growth opportunities

High ownership, high impact

Learning and growth opportunities

Job summary

A robotics technology company in India is looking for a Robotic Software Testing Engineer responsible for deploying, configuring, and validating software systems on robotic platforms. The role focuses on system-level deployment and integration rather than pure development, requiring proficiency in Linux, ROS/ROS2, and strong troubleshooting abilities under field conditions. Exposure to hardware-software integrated systems and experience with networking will be advantageous. This position offers opportunities for real-world robotics deployment and direct collaboration with ML and robotics teams.

Qualifications

• Strong proficiency in Linux.
• Experience with ROS / ROS2.
• Ability to troubleshoot under field conditions.
• Experience with hardware-software integrated systems.
• Ability to troubleshoot under field conditions.

Responsibilities

• Deploy robotic software stacks including perception pipelines and ROS nodes.
• Validate end-to-end system functionality from sensor data to ML outputs.
• Act as the first line of technical support during deployments.
• Validate end-to-end system functionality: sensor data flow, ML inference, latency and stability.
• Debug issues related to ROS topics/services, network, and software crashes or performance drops.
• Coordinate with ML and robotics teams to close deployment issues.
• Act as first line of technical support during deployments and collect logs/metrics.
• Create deployment SOPs, checklists and rollback plans; train internal teams or clients.

Skills

Linux proficiency

Hands-on experience with ROS / ROS2

Networking knowledge

System logs and debugging understanding

Troubleshooting skills

Field troubleshooting

Tools

Docker

Python-based tooling

Python tooling

Job description

As a Robotic Software Testing Engineer you will be responsible for deploying, configuring, validating, and supporting software systems on ERIC Robotics’ robotic platforms during pilots and production rollouts.

This role bridges ML/robotics software teams and real-world deployments, ensuring that what is built in-house works reliably at customer sites.

This is not a pure development role — it is a system-level deployment, debugging, and integration role.

Key Responsibilities

• Software Deployment & Integration
  • Deploy robotic software stacks including:
  • Perception pipelines
  • ROS / ROS2 nodes
  • Dashboards and monitoring tools
  • Configure software for:
  • Different hardware variants
  • Client-specific environments
  • Perform on-site and remote deployments during:
  • Pilots
  • POCs
  • Production rollouts
• System Validation & Debugging
  • Validate end-to-end system functionality:
  • Sensor data flow
  • ML inference outputs
  • Latency and stability
  • Debug issues related to:
  • ROS topics/services
  • Network connectivity
  • Software crashes or performance drops
  • Coordinate with ML and robotics teams to close deployment issues.
• Operations & Support
  • Act as the first line of technical support during deployments.
  • Collect logs, metrics, and field feedback.
  • Create deployment SOPs, checklists, and rollback plans.
  • Train internal teams or clients (when required) on system usage.

Requirements

Technical Skills (Must Have)

• Strong proficiency in Linux.
• Hands‑on experience with ROS / ROS2.
• Good understanding of:
• Networking (IP, SSH, ports, firewalls)
• System logs and debugging
• Experience working with hardware‑software integrated systems.
• Ability to troubleshoot under field conditions.

Good to Have

• Familiarity with:
• Docker / containers
• Edge devices (Jetson, industrial PCs)
• Python-based tooling
• Exposure to robotics, ML systems, or IoT deployments.

Benefits

• Real-world robotics deployment experience
• Exposure to full-stack robotic systems (software + hardware)
• Direct work with ML and robotics teams
• High-ownership, high-impact role
• Strong learning and growth opportunities