Experience: 5-12 Years Location: Whitefield, Bengaluru (3 days work from office) Job Summary We are looking for a GPU Computing Engineer with solid expertise in CUDA programming, GPU architecture, and parallel computing. The role involves building and optimizing high-performance solutions for AI, simulation, and large-scale computing workloads.

Key Responsibilities - Develop and optimize CUDA-based applications and GPU kernels.

- Design scalable parallel computing solutions for compute-intensive workloads.
- Optimize application performance through profiling, benchmarking, and tuning.
- Build and support multi-GPU and distributed computing environments.
- Implement efficient workload scheduling and resource utilization strategies.
- Collaborate with AI/ML, platform,



and infrastructure teams.

Required Skills - CUDA C/C++

- NVIDIA GPU Architecture
- Parallel Computing & Multithreading
- Linux
- Python
- Performance Optimization
- OpenMP, MPI, NCCL
- Scheduling Algorithms Preferred Skills - Kubernetes
- Slurm Desired Profile - 5-12 years of experience in GPU Computing, HPC, AI Infrastructure, or Performance Engineering.
- Strong understanding of parallel processing and distributed computing concepts.
- Hands-on experience optimizing large-scale compute workloads.

📌 GPU Computing Engineer / AI Platform Engineer (Bengaluru)
🏢 Mahindra Satyam
📍 Bengaluru