Senior CUDA Engineer

Tekskills Inc.; Hyderabad; On-site; INR 2,000,000 - 5,000,000; Full time

Job summary

Tekskills Inc. in Lucknow, UP invites an experienced Senior CUDA Engineer to design and optimize GPU compute kernels using CUDA, cuBLAS, cuSPARSE and related NVIDIA libraries.

You will implement high-performance matrix operations and collaborate with Python layers through PyBind11 and PyTorch extensions. The role emphasizes performance profiling with Nsight Compute and Nsight Systems, memory layout optimization, and robust error handling to ensure numerical correctness and mixed-precision

Qualifications

• We are seeking a highly skilled Senior CUDA 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.

Responsibilities

• Develop and optimize GPU compute kernels using CUDA and NVIDIA libraries.
• Design batch grouped execution for large-scale GEMM/SpMM workloads.
• Profile and tune performance with Nsight Compute and Nsight Systems.
• Integrate with Python via PyBind11 and PyTorch extensions.
• Ensure numerical correctness, mixed-precision stability, and robust error handling.

Skills

C++

Tools

CUDA

cuBLAS

cuBLASLt

CUTLASS

cuSPARSE

Nsight Compute

Nsight Systems

PyBind11

PyTorch

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.