MulticoreWare - GPU Engineer - CUDA / OpenGL

Job Summary :

We are seeking an experienced GPU Programming Engineer to join our team. In this role, you will focus on developing, optimizing, and deploying GPU-accelerated solutions for high-performance machine learning workloads. The ideal candidate has strong expertise in GPU programming across one or more platforms (e.g., NVIDIA CUDA, AMD ROCm / HIP, or OpenCL) and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration.

Key Responsibilities :

• Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL.
• Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization.
• Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs.
• Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.
• Work closely with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions.

Required Qualifications :

Preferred Qualifications :

(ref : hirist.tech)