GPU Engineer

About the role

for an experienced GPU Programming Engineer to develop, optimize, and deploy GPU-accelerated solutions for high-performance deep learning workloads. role focuses on GPU programming, parallel computing, performance tuning, and deep learning system integration across platforms such as NVIDIA CUDA, AMD

What you'll do

• Develop, optimize, and maintain GPU-accelerated
• Components for deep learning pipelines using CUDA, HIP, or OpenCL
• Analyze and improve GPU kernel performance
• Through profiling, benchmarking, and resource optimization
• Optimize memory access, compute, throughput, and

What you need

• 2–5 years in software engineering
• C++
• Deep learning
• C
• Linux
• PyTorch
• TensorFlow
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA