Expert Parallel Computing Specialist

5 days ago

Chennai, Tamil Nadu, India beBeeProgramming Full time ₹ 1,50,00,000 - ₹ 1,80,00,000

**GPU Programming Engineer**

Job Overview

We are seeking a skilled GPU programmer to develop, optimize, and deploy high-performance machine learning solutions. The ideal candidate has strong expertise in GPU programming across multiple platforms and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration.

Key Responsibilities
  • GPU-Accelerated Component Development:

Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL.

Kernels Optimization:

Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization.

Memory Access Optimization:

Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs.

Platform Porting:

Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.

Required Qualifications
  • Bachelor's or Master's Degree:

In computer science, electrical engineering, or a related field.

Hands-on Experience:

2+ years in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs.

Strong Understanding:

Of GPU architecture, memory hierarchy, and parallel programming models.

Proficiency:

In C/C++ and hands-on experience developing on Linux-based systems.

Preferred Qualifications

Familiarity with cuDNN, TensorRT, OpenCL, or other GPU computing libraries.

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