Posted on: 03/08/2025
Job Title : AI Systems Engineer GPU/ROCm/CUDA | ML Frameworks Optimization
Location : Hyderabad
Experience : 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
Did you find something suspicious?