Job Title AI Systems Engineer - GPU ROCm CUDA ML Frameworks Optimization Location Hyderabad Experience 3-6 Mid-Senior We are looking for a passionate and experienced AI Systems Engineer to join our team to work on next-generation Machine Learning technologies and optimize performance across AMD GPU accelerators This role involves low-level GPU programming custom ML kernel development and working with state-of-the-art inference engines Key Responsibilities Develop and optimize custom Deep Learning GPU kernels using ROCm CUDA or shader languages Support and enhance ML model deployment on Linux platforms Optimize performance of ROCm drivers and inferencing engines for AI ML workloads Collaborate closely with internal hardware software teams to support next-gen GPU accelerators Profile debug and improve performance of GPU kernels and AI model pipelines Contribute to designing and implementing new AI technologies and workflows Required Skills Qualifications BS MS in Computer Science Electrical Engineering or equivalent Strong programming skills in C C Python Solid experience working with Linux CLI bash scripting or PowerShell Hands-on experience with Python ML libraries such as PyTorch Transformers Knowledge of writing high-performance ML kernels using Triton JAX or similar Experience with debugging tools like gdb valgrind and profiling tools such as nsys rocprof Familiarity with AI inferencing runtimes such as vllm ollama llama cpp or sglang Understanding of GPU and PC architecture x86 x64 instruction sets Experience developing with ROCm CUDA or shader programming Nice to Have Knowledge of x86 Assembly Contributions to open-source ML DL performance libraries Exposure to compiler optimization techniques for GPU code What We Offer Work on cutting-edge GPU technologies and ML systems Exposure to performance-critical AI workloads Collaborative and research-oriented environment Competitive compensation and career growth opportunities Apply If you are looking for job change share your updated resume to vagdevi semi-leaf com Job Type Full time Pay Up to 3 000 000 00 per year Experience Deep Learning GPU kernels using ROCm CUDA 2 years Required programming skills in C C Python 1 year Required Python ML libraries such as PyTorch Transformers 1 year Required developing with ROCm CUDA 1 year Required Work Location In person Speak with the employer 91 (phone hidden)

📌 Ai Systems Engineer – Gpu/rocm/cuda | Ml Frameworks Optimization (Telangana)
🏢 SEMI LEAF
📍 Telangana