Sr. Engineer II - Robotics

NewSpace Research and Technologies; Bengaluru; Sur place; INR 1 200 000 - 2 000 000; Plein temps

Résumé du poste

NewSpace Research and Technologies in Bengaluru (IND) seeks a Senior Software Engineer focused on robotics perception. You will build production-grade perception systems for real robots, develop ROS/ROS2 nodes, and fuse multimodal sensor data for accurate environmental models.

You’ll work hands-on with autonomy, hardware and field teams, optimizing latency and reliability while shipping robust perception pipelines to production deployments.

Qualifications

• 4+ years of real-world robotics software experience.
• Proficient with ROS/ROS2 for development, deployment and debugging.
• Hands-on robotics applications on robots, vehicles, drones or automation.
• Strong Python programming skills.
• Real-time constraints and sensor timing understanding.
• Willing to work on-site.

Responsabilités

• Build production perception pipelines deployed on physical robotic systems.
• Develop ROS/ROS2 nodes and distributed systems for real-time perception.
• Integrate and fuse multi-sensor data into an environmental model.
• Debug and harden systems with noisy or imperfect sensor data.
• Collaborate with autonomy, hardware and field teams to deploy and iterate.
• Improve runtime performance, reliability and logging.

Connaissances

ROS/ROS2

Python

Robotics perception

Real-time systems

Sensor fusion

Outils

TF2

rviz

rosbag

image_transport

Description du poste

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.
• 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

• 4+ years experience building real-world software, with meaningful time spent on robotics perception.
• ROS/ROS2 is required (professional experience building, deploying, and debugging ROS-based systems).
• 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