Analyst Programmer

SRM Technologies; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

SRM Technologies is seeking an experienced CV/ML engineer focused on ADAS radar/SLAM and embedded deployment. You will advance perception pipelines using stereo vision, LiDAR, and radar data, optimizing Kalman-like filters and particle filters for robust tracking.

The role demands strong math, deep learning expertise, and edge-computing skills to run production-grade models on embedded hardware.

Qualifications

• Strong CV/ML foundation with signal processing knowledge.
• Experience in ADAS, radar or perception systems is required.
• Proficient in embedded edge deployment of CV/ML models.
• Solid mathematics background and algorithm development skills.

Responsibilities

• ADAS/ AIML, CV development and Radar algorithm development.
• CV & ML techniques applied to sensing data.
• Stereo camera & LiDAR 3D point cloud processing; 2D/3D transforms.
• SLAM optimization and sensor fusion for localization.
• Develop ML algorithms and production-grade models with CV.
• Work with imaging/optics radar systems and embedded platforms.
• Apply Kalman/particle filters, clustering for perception tasks.
• Evaluate performance of sensor fusion and object tracking.

Skills

Computer Vision

Machine Learning

SLAM

Radar

Sensor fusion

Edge computing

Kalman filter

Particle filter

Mathematics

Engineering work

Tools

OpenCV

MATLAB image processing toolbox

TensorFlow

PyTorch

Caffe

MxNet

Linux

OpenGL

OpenCL

Job description

Key Responsibilities ADAS AIML, Computer visiondevelopment and Radar Algo development

Experience in the areas of Computer Vision & MachineLearning

1. Deep knowledge & experience of :-

3. Stereo Camera & Lidar 3D point cloud processing, 2Dand 3D coordinate rotation and translation

6. Simultaneous Localization & Mapping SLAM-opt

7.Machine learning techniques and algorithms

8.Building production-grade Deep learning and Neural Networkmodels using Computer vision techniques

9.Experience with imaging or optics systems RADAR

10. Strong understanding of concepts and background indevelopment of topics like Kalman or extended Kalman filters, particle filter,clustering techniques etc.

11. performance measurement for algorithms like sensorfusion, object tracking etc.

12. Expertise in Radar and deep learning or machine learningtechniques on embedded platform

Technical Skills:

1. EmbeddedC, C++- /Python / Matlab

2.Image Processing and computer vision libraries like OpenCVand MATLAB image processing and computer vision toolbox

3.Programming with strong experience in Data structures,algorithms and software development

4. Either of the Deep Learning frameworks, such as TensorFlow, PyTorch ,Caffe MxNet- Any 1

5. Common Data science tool kits

6. Embedded OS, Linux, Open GL, Open CL

7. Deploying Computer vision and machine learning algorithmson edge computing hardware

8. Sensorfusion of Camera , LIDAR, RADAR, GNSS etc and perception system

9. Strong mathematical background

10. Ability to perform complex engineering work with minimalguidance