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:
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Build and ship production perception pipelines deployed on physical robotic systems.
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Develop ROS/ROS2 nodes and distributed systems for real-time perception (publish/subscribe, services, actions, TF).
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Integrate and fuse multi-sensor data (e.g., camera, LiDAR, radar, IMU, GPS) into a reliable environmental model.
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Own perception end-to-end: algorithm choice implementation optimization deployment field performance.
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Debug and harden systems where sensor data is noisy, incomplete, and imperfect.
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Partner with autonomy, hardware, and field teams to deploy quickly and iterate based on real-world results.
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Improve runtime performance (latency/throughput), reliability, logging/telemetry, and maintainability.
Must-Have Qualifications:
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4+ years experience building real-world software, with meaningful time spent on robotics perception.
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ROS/ROS2 is required (professional experience building, deploying, and debugging ROS-based systems).
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Prior robotics application experience is required (robots, autonomous vehicles, drones, industrial automation, etc.).
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Strong programming skills in Python.
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Proven record shipping perception and/or sensor fusion capabilities into production or real deployments.
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Solid understanding of real-time constraints, sensor timing/synchronization, and system-level debugging.
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Comfortable making pragmatic engineering tradeoffs to meet performance and deployment goals.
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Able to work on-site
Strongly Preferred:
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Experience with sensor fusion, mapping, object detection/tracking, or multi-object tracking.
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Familiarity with common robotics/perception tooling (e.g., tf2, rosbag, rviz, image_transport, calibration pipelines).
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Experience deploying to edge compute (e.g., NVIDIA Jetson) and optimizing runtime performance.
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Field deployment experience: diagnosing issues from logs, telemetry, and on-robot behavior in messy environments.
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Startup / rapid iteration background.
What Success Looks Like:
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Reliable perception outputs across varied conditions, validated in real deployments (not just offline metrics).
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ROS/ROS2 perception stack that’s observable, debuggable, and maintainable (good logging, replay, tooling).
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Fast iteration loop from field feedback to shipped improvements.
Interview Focus Areas:
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Python engineering and system design for robotics software
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ROS/ROS2 architecture and debugging (TF, timing, message flow, bags)
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Perception fundamentals + pragmatic production decisions
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Real-world deployment stories: failures, fixes, and what you learned
To apply: Along with resume, share 1–2 examples of ROS/ROS2 robotics work you’ve shipped (links to repos, demos, write-ups, or project summaries welcome).
