Experience: 5-12 Years
Location: Whitefield, Bengaluru (3 days work from office)
Job Summary
We are looking for a GPU Computing Engineer with strong 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
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.
