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Job Closed

Software Engineer

  • Source: LinkedIn
  • DELOPT
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

About the Company

We are looking for an experienced Software & Algorithm Developer to develop and deploy robust real-time Computer Vision and object/surface tracking solutions on NVIDIA Jetson/ARM-based embedded platforms.

About the Role

We are looking for an experienced Software & Algorithm Developer to develop and deploy robust real-time Computer Vision and object/surface tracking solutions on NVIDIA Jetson/ARM-based embedded platforms.

Responsibilities

  • Develop real-time object detection, segmentation and multi-object tracking algorithms.
  • Implement object/surface localization, ID assignment, trajectory estimation and track management.
  • Develop image segmentation, region partitioning, convex-hull/polygon separation and graph-based object association.
  • Prototype and validate algorithms using Python and OpenCV; implement production-grade solutions in C++.
  • Port and optimize applications on NVIDIA Jetson / ARM64 Linux using CUDA, TensorRT and GPU acceleration.
  • Optimize CPU/GPU utilization, memory, latency and multithreaded video-processing pipelines.
  • Test tracking accuracy, ID continuity, track loss/re-acquisition and real-time performance.

Qualifications

B.E./B.Tech/M.E./M.Tech in Computer Science, AI/ML, Robotics or related engineering discipline. 4–6 years of relevant hands-on experience in Real-Time Computer Vision + C++ + Python + NVIDIA Jetson/ARM + Object Tracking. Candidates with only generic software, web development or Python experience are not suitable.

Required Skills

  • Strong hands-on experience in real-time Computer Vision and object/multi-object tracking.
  • Strong C++ and good Python programming skills; STL, data structures, multithreading and performance optimization.
  • Strong OpenCV and image processing knowledge including segmentation, feature extraction and motion estimation.
  • Hands-on NVIDIA Jetson / ARM64 Linux deployment experience.
  • Practical CUDA / GPU acceleration and real-time video processing experience.
  • Knowledge of Kalman Filter or similar tracking methods.

Preferred Skills

  • PyTorch / TensorFlow, TensorRT, GStreamer, V4L2 and hardware-accelerated video pipelines.
  • Graph algorithms, graph matching / data association and low-latency video analytics.
  • CMake, Git and NVIDIA Nsight / Linux profiling.

Pay range and compensation package

4–6 Years Full-Time Bangalore

Equal Opportunity Statement

We are committed to diversity and inclusivity.

Skills

  • microsoft-graph
  • Python
  • opencv
  • cplusplus
  • nvidia
  • cuda
  • PyTorch
  • Tensorflow
  • gstreamer
  • cmake
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