AI Systems Engineer

4 weeks ago

Hyderabad India SEMI LEAF Full time

Job Description Job Title : AI Systems Engineer GPU/ROCm/CUDA | ML Frameworks Optimization Location : : 3-6 [Mid-Senior] Job Description 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 (ref:hirist.tech)

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