Offer summary

Qualifications:

Bachelor's degree in a technical field or equivalent experience., 4 years of experience in computer vision and image processing., Proficiency in C++ and CUDA, with a strong understanding of algorithms., Familiarity with multithreading, SIMD, and GPU acceleration techniques..

Key responsabilities:

Design and develop high-performance C++ applications for real-time image/video processing.

Optimize computer vision algorithms for speed and memory efficiency.

Implement real-time data streaming and processing pipelines with minimal latency.

Collaborate with machine learning engineers to optimize deep learning model inference.

Job description

Job Title - Computer Vision Engineer

Experience - 4 Yr

Budget-18 LPA

Location - Remote

Primary Skills - Skills in image detection, segmentation, and triangulation, Proficiency in CUDA and understanding of various algorithms and application architecture

Educational Criteria - Any Technical

NP-0-7 days

Key Responsibilities:

- Design and develop high-performance, low-latency C++ applications for real-time image/video processing.

- Optimize CV algorithms for speed, memory efficiency, and hardware acceleration.

- Utilize multithreading, SIMD, and GPU acceleration (CUDA/OpenCL) to enhance performance.

- Implement real-time data streaming and processing pipelines with minimal latency.

- Work with GPU, vectorization, and parallel computing techniques for acceleration.

- Ensure code efficiency with profiling, benchmarking, and performance tuning tools.

- Collaborate with ML engineers for deep learning model inference optimization.

- Develop robust, scalable, and maintainable C++ codebases using modern C++ standards (C++14/17/20).

- Implement best practices for unit testing, CI/CD, and software integration.