Analyst Programmer

SRM Technologies; Chennai District; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

SRM Technologies in Chennai, India is seeking an experienced professional to lead ADAS AIML development, computer vision, and radar algorithm work. You will tackle deep learning, 3D perception, and sensor fusion challenges across embedded platforms.

The role requires strong hands-on skills in stereo and LIDAR data processing, camera calibration, SLAM, and production-grade model deployment. You will collaborate with multidisciplinary teams to deliver robust, real-time solutions for

Qualifications

• Experience in Computer Vision & Machine Learning.
• Deep knowledge of image processing and 3D point clouds (stereo/LIDAR).
• Stereo camera and LIDAR 3D processing and calibration.
• Mono/stereo camera calibration (online/dynamic).
• 3D reconstruction & depth imaging.
• SLAM optimization (localization/mapping).
• Machine learning techniques and algorithms.
• Production-grade CV/ML models on edge devices.

Responsibilities

• Develop ADAS AIML and radar algorithms.
• Work on stereo camera and LIDAR data processing.
• Implement SLAM optimization techniques.
• Calibrate mono/stereo cameras; online and dynamic calibrations.
• Prototype and deploy CV/ML models on embedded platforms.
• Evaluate performance and optimize algorithms.
• Collaborate with cross-functional teams in Chennai.

Skills

Embedded systems

Image processing

Computer vision

Machine learning

SLAM

Sensor fusion

Kalman filters

Edge deployment

C/C++

Python

Tools

OpenCV

MATLAB

TensorFlow

PyTorch

Caffe

MxNet

Linux

OpenGL

OpenCL

Job description

Key Responsibilities ADAS AIML, Computer vision
development and Radar Algo development

Experience in the areas of Computer Vision & Machine
Learning

1. 1. Deep knowledge & experience of :-
2. 2. Image processing, Computer Vision, Machine / Deep Learning-Cameras-Mono camera,
   stereo camera OR LIDAR
3. 3. Stereo Camera & Lidar 3D point cloud processing, 2D
   and 3D coordinate rotation and translation
4. 4. Mono & Stereo Camera Calibration & Imaging, Static, Online,
   Dynamic Camera calibrations
5. 5. 3D reconstruction & depth imaging
6. 6. Simultaneous Localization & Mapping SLAM-opt
7. 7. Machine learning techniques and algorithms
8. 8. Building production-grade Deep learning and Neural Network
   models using Computer vision techniques
9. 9. Experience with imaging or optics systems RADAR
10. 10. Strong understanding of concepts and background in
    development of topics like Kalman or extended Kalman filters, particle filter,
    clustering techniques etc.
11. 11. performance measurement for algorithms like sensor
    fusion, object tracking etc.
12. 12. Expertise in Radar and deep learning or machine learning
    techniques on embedded platform

Technical Skills :

1. 1. Embedded
   C, C++- / Python / Matlab
2. 2. Image Processing and computer vision libraries like OpenCV
   and MATLAB image processing and computer vision toolbox
3. 3. Programming with strong experience in Data structures,
   algorithms and software development
4. 4. Either of the Deep Learning frameworks, such as TensorFlow, PyTorch ,
   Caffe MxNet- Any 1
5. 5. Common Data science tool kits
6. 6. Embedded OS, Linux, Open GL, Open CL
7. 7. Deploying Computer vision and machine learning algorithms
   on edge computing hardware
8. 8. Sensor
   fusion of Camera , LIDAR, RADAR, GNSS etc and perception system
9. 9. Strong mathematical background
10. 10. Ability to perform complex engineering work with minimal
    guidance