GPU Optimization Engineer

Infyshine; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infyshine in Bengaluru (Hybrid) is seeking a GPU Optimization Engineer to accelerate DNN-based applications for real-time rendering. You will port and optimize on GPGPU platforms like CUDA and Metal, and develop C/C++ frameworks and tools across Linux, macOS, and Windows.

The role requires strong CUDA/C++, multithreading, debugging skills, and experience delivering high-performance GPU software across multiple operating systems. Hybrid work setup included.

Qualifications

• Proficiency in CUDA/C++ for GPU optimization and real-time performance.
• Strong multithreading, debugging and profiling skills.
• Experience porting across GPGPU platforms and multiple OS environments.

Responsibilities

• Optimize and accelerate DNN-based applications for real-time rendering.
• Port and optimize on GPGPU platforms such as CUDA and Metal.
• Develop and maintain C/C++ applications, frameworks, tools, and libraries.

Skills

Optimization

CUDA

C++

Deep Neural Networks

GPU Programming

Multithreading

Porting

Tools

Linux

macOS

Windows

Docker

Objective-C

ANE Inference

Job description

GPU Optimization Engineer

Bengaluru - Hybrid

Optimization,Cuda,C++,Deep Neural Networks,Gpu Programming,Multithreading,Porting

Job Description

Optimizing & accelerating DNN based application for achieving real time rendering.

Porting and optimization on GPGPU platforms like CUDA & Metal.

Development and maintenance of C/C++ based Applications, frameworks, tools, and libraries.

Debugging of multi-threaded application.

Testing, fixing bugs and enhancement activities.

Development experience on Linux, Mac and Windows.

Objective C

ANE Inference

Docker