About the Company

The organization operates in the technology domain, focusing on developing high-performance computing solutions involving GPU acceleration, real-time data processing, and advanced system architectures. With a strong emphasis on innovation and performance optimization, the company builds scalable systems that handle complex data streams such as video, signals, and numerical computations. The work environment encourages technical excellence, experimentation, and continuous learning.

Introduction

We are seeking an experienced Software Engineer with expertise in Python and high-performance computing to join our team in Bengaluru. This role involves designing and developing GPU-accelerated applications, building real-time data pipelines, and optimizing system performance across CPU and GPU environments. The ideal candidate will have strong problem-solving skills and hands-on experience with concurrent systems and backend development.

Key Responsibilities

Application Development & Performance Optimization

Develop high-performance Python applications running on PCs with GPU acceleration.
Optimize CPU–GPU workload distribution, memory usage, and execution efficiency.
Implement GPU-accelerated computation using CUDA, CuPy, and NumPy.

System Architecture & Concurrency

Design and maintain multithreaded and multiprocess architectures for concurrent data processing.
Build scalable systems for real-time data acquisition, processing, and execution.

Data Processing & Integration

Develop real-time data processing pipelines for video, signals, and numerical datasets.
Integrate Video4Linux (V4L2) for camera and video stream capture.
Implement socket programming for inter-process and client-server communication.

Backend Development & APIs

Develop backend services and APIs using Flask or similar frameworks such as FastAPI.
Enable system control, monitoring, and configuration through REST-based interfaces.

Visualization & Monitoring

Create interactive dashboards and visualizations using Plotly.
Implement robust error handling, logging, and system monitoring mechanisms.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field.
4+ years of experience in Python development.
Strong understanding of multithreading and multiprocessing concepts.
Hands-on experience with GPU computing technologies such as CUDA and CuPy.
Experience with NumPy for numerical computing.
Knowledge of socket programming and real-time system design.
Experience with backend frameworks like Flask or FastAPI.
Strong problem-solving and performance optimization skills.

Preferred Qualifications

Experience working with Video4Linux (V4L2) for video capture and processing.
Familiarity with real-time data processing systems and pipelines.
Experience with data visualization tools like Plotly.
Understanding of distributed systems and scalable architectures.
Exposure to system monitoring and logging frameworks.

Why Join Us / Benefits

Opportunity to work on cutting-edge GPU-accelerated and high-performance computing systems.
Exposure to real-time data processing and advanced system architectures.
Collaborative and innovation-driven work environment.
Opportunities for continuous learning and technical growth.
Work on impactful projects involving video, signal, and numerical data processing.