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AI Systems Engineer

AI Systems Engineer

Semi leafHyderabad
30+ days ago
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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    System Engineer • Hyderabad

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