nugget.ai
Website:
nugget.ai
Job details:
Job Title: PyCUDA / AI EngineerLocation: Hyderabad, India (Onsite/Hybrid)
Company: Citimedia (Planetcorp.com)
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Role OverviewWe are looking for a highly skilled PyCUDA / AI Engineer with strong experience in GPU computing and NVIDIA-based acceleration frameworks. The ideal candidate will design, develop, and optimize high-performance AI and data processing pipelines leveraging CUDA-enabled architectures.
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Key Responsibilities- Develop and optimize GPU-accelerated applications using PyCUDA
- Work with NVIDIA CUDA for parallel computing and performance tuning
- Build and deploy AI/ML models optimized for GPU execution
- Implement memory management and kernel optimization for large-scale data workloads
- Collaborate with data scientists and backend teams to integrate GPU-based solutions
- Analyze performance bottlenecks and optimize compute pipelines
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Required Skills- Strong hands-on experience with PyCUDA (MANDATORY)
- Deep understanding of CUDA programming and GPU architecture (NVIDIA GPUs)
- Proficiency in Python (NumPy, SciPy, etc.)
- Experience with parallel computing and memory optimization
- Familiarity with AI/ML frameworks (TensorFlow / PyTorch with GPU support)
- Experience working on high-performance computing (HPC) systems
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Good to Have- Experience with CUDA C/C++ kernels
- Knowledge of GPU profiling tools (Nsight, nvprof)
- Exposure to deep learning optimization (TensorRT)
- Understanding of distributed computing frameworks
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Preferred Background- Bachelor’s or Master’s in Computer Science, AI, or related field
- 3+ years of experience in GPU computing / AI engineering
- Prior experience working on real-time or high-throughput systems
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What Makes This Role Unique- Work on cutting-edge GPU-accelerated AI systems
- Direct exposure to NVIDIA ecosystem and performance engineering
- Opportunity to build high-scale, low-latency AI pipelines
Click on Apply to know more.