Job Title: Senior CUDA Engineer

Location: Lucknow, UP

Skills Required: C++
Experience: 6 to 8 Years

Notice Period: Immediate and 15 Days

Job Description:
- Develop and optimize GPU compute kernels using CUDA, Tensor Cores, and NVIDIA libraries Implement and tune high-performance matrix operations using cuBLAScuBLASLt, CUTLASS, and cuSPARSE
- Design batch grouped execution flows for large-scale GEMM SpMM workloads Optimize memory layouts, data movement, and kernel launch efficiency
- Conduct profiling and performance tuning using Nsight Compute Nsight Systems
- Build clean and reliable CC APIs and integrate with Python (PyBind11 PyTorch extensions)
- Ensure numerical correctness, mixed-precision stability, and robust error handling

Essential Skills:
- We are seeking a highly skilled Senior CCUDA Engineer with strong experience in GPU-accelerated computation and deep learning inference.
- The role involves developing high-performance GPU kernels, optimizing large-scale matrix operations, and integrating with Python-based orchestration layers.

📌 Senior CUDA Engineer (Lucknow)
🏢 Tekskills
📍 Lucknow