Job Description
Who we are:
We are a start-up based out of Bengaluru & Delhi NCR. We are engaged in development of next generation missions and technologies (NGM&T) towards future warfare needs of the Indian defence forces. It is undertaking research towards enhancing persistence and autonomy for unmanned vehicles and robotic swarms. NRT’s product development portfolio includes a solar power stratospheric high altitude pseudo satellite (HAPS) unmanned platform and an air/ground launched stand-off autonomous system.
Role Summary:
We’re hiring a Senior Software Engineer specializing in robotics perception to build and ship production-grade perception systems for real robots operating in real environments. This role is hands-on, high-ownership, and tightly integrated with autonomy, hardware, and field operations.
ROS/ROS2 and prior robotics application experience are mandatory.
What You’ll Do:
Build and ship production perception pipelines deployed on physical robotic systems.
Develop ROS/ROS2 nodes and distributed systems for real-time perception (publish/subscribe, services, actions, TF).
Integrate and fuse multi-sensor data (e.g., camera, LiDAR, radar, IMU, GPS) into a reliable environmental model.
Own perception end-to-end: algorithm choice → implementation → optimization →deployment → field performance.
Debug and harden systems where sensor data is noisy, incomplete, and imperfect.
Partner with autonomy, hardware, and field teams to deploy quickly and iterate based on real-world results.
Improve runtime performance (latency/throughput), reliability, logging/telemetry, and maintainability.
Must-Have Qualifications:
3+ years experience building real-world software, with meaningful time spent on robotics perception.
Experience in image processing and 3D point cloud processing, including feature extraction, segmentation, and spatial data analysis.
Prior robotics application experience is required (robots, autonomous vehicles, drones, industrial automation, etc.).
Strong programming skills in Python.
Proven record shipping perception and/or sensor fusion capabilities into production or real deployments.
Solid understanding of real-time constraints, sensor timing/synchronization, and system-level debugging.
Comfortable making pragmatic engineering tradeoffs to meet performance and deployment goals.
Able to work on-site
Strongly Preferred:
Experience with sensor fusion, mapping, object detection/tracking, or multi-object tracking.
Familiarity with common robotics/perception tooling (e.g., tf2, rosbag, rviz, image_transport, calibration pipelines).
Experience deploying to edge compute (e.g., NVIDIA Jetson) and optimizing runtime performance.
Field deployment experience: diagnosing issues from logs, telemetry, and on-robot behavior in messy environments.
Startup / rapid iteration background.
What Success Looks Like:
Reliable perception outputs across varied conditions, validated in real deployments (not just offline metrics).
ROS/ROS2 perception stack that’s observable, debuggable, and maintainable (good logging, replay, tooling).
Fast iteration loop from field feedback to shipped improvements.
Interview Focus Areas:
Python engineering and system design for robotics software
ROS/ROS2 architecture and debugging (TF, timing, message flow, bags)
Perception fundamentals + pragmatic production decisions
Real-world deployment stories: failures, fixes, and what you learned
