We are looking for an experienced CUDA Software Engineer to develop and optimize high-performance GPU-accelerated applications for advanced image processing and computer vision workloads. This role is ideal for professionals with deep expertise in CUDA, C/C++, and GPU optimization who are passionate about building scalable, real-time processing pipelines.
As a CUDA Software Engineer, you will work on performance-critical software by optimizing compute-intensive algorithms, implementing highly parallel CUDA kernels, and improving execution efficiency across NVIDIA GPU platforms. You will collaborate closely with algorithm, software, and engineering teams to accelerate image processing pipelines while maintaining code quality, scalability, and reliability. This role offers an prospect to solve complex computational challenges using modern GPU technologies and parallel programming techniques.
Requirements
Key Responsibilities
- Profile, analyze, and optimize C/C++ and CUDA applications to achieve high-performance, real-time execution.
- Design, implement, and optimize CUDA kernels for image processing and computer vision algorithms.
- Improve GPU memory utilization, execution efficiency, and parallel processing performance across NVIDIA GPU platforms.
- Develop proof-of-concept solutions using Python for rapid algorithm validation and experimentation.
- Integrate GPU-accelerated components with existing software pipelines and image processing frameworks.
- Utilize GPU profiling and debugging tools to identify bottlenecks and optimize application performance.
- Collaborate with cross-functional engineering teams to translate algorithmic requirements into efficient GPU implementations.
- Write clean, maintainable, and well-documented C/C++, CUDA, and Python code following software engineering b
📌 CUDA Developer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru
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