Senior CUDA Engineer

Tekskills Inc.; Mumbai; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

Tekskills Inc. in Lucknow is seeking a Senior CUDA Engineer to develop and optimize GPU compute kernels using CUDA, Tensor Cores, and NVIDIA libraries. The role focuses on high-performance matrix operations and efficient data movement from Python-based orchestration layers.

Ideal candidates will have 6–8 years of experience in GPU-accelerated computing, strong C++ skills, and a track record of implementing complex CUDA workflows with Nsight profiling tools.

Qualifications

• Minimum 6–8 years of experience in GPU-accelerated computing.
• Expertise in CUDA, cuBLAS/cuSPARSE, and batching large-scale matrix ops.
• Experience with Python bindings and PyTorch extensions.

Responsibilities

• Develop and optimize GPU compute kernels using CUDA, Tensor Cores, and NVIDIA libraries.
• Implement and tune high-performance matrix operations using cuBLAS/cuBLASLt, CUTLASS, and cuSPARSE.
• Design batch grouped execution flows for large-scale GEMM/SpMM workloads and optimize memory layouts.
• Conduct profiling and performance tuning using Nsight Compute and 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.

Skills

CUDA

C++

GPU kernels

Tools

cuBLAS

cuSPARSE

CUTLASS

Nsight Compute

Nsight Systems

PyBind11

PyTorch

Python

Job description

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.