Senior CUDA Engineer

Tekskills Inc.; Delhi; Presencial; INR 1.400.000 - 2.100.000; Jornada completa

Descripción de la vacante

Tekskills Inc. in Lucknow, UP, is seeking a Senior CUDA Engineer to design and optimize GPU kernels, leveraging CUDA, Tensor Cores, and NVIDIA libraries. You will drive high-performance matrix operations and integration with Python-based workflows.

The ideal candidate has 6–8 years of hands-on GPU programming, strong C++, and experience with PyBind11 and PyTorch extensions; you will work on scalable HPC workloads and ensure numerical correctness and stable, high-precision results.

Formación

• 6–8 years of hands-on experience in GPU programming and CUDA development.

Responsabilidades

• Develop and optimize GPU compute kernels using CUDA, Tensor Cores, and NVIDIA libraries.

Conocimientos

C++

CUDA

GPU programming

Python bindings

Herramientas

cuBLAS

cuBLASLt

CUTLASS

cuSPARSE

Nsight Compute

Nsight Systems

PyBind11

PyTorch

Descripción del empleo

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 stable 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.