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Software Engineer, Systems ML - Frameworks / Compilers / DL-Kernels | Ingénieur logiciel spécialisé en apprentissage automatique des systèmes – cadres/compilateurs/noyaux d'apprentissage profond

Meta· Engineering
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Toronto, CanadaCA$160k - CA$213kFull-timePosted 1mo ago

About the role

Role within MTIA Software team, part of AI and Compute Foundations. Focuses on PyTorch/GenAI framework components, AI compiler and runtime, high-performance DL kernels, and tooling to accelerate ML workloads on MTIA hardware. Collaborates with AI researchers and hardware design teams to optimize models for MTIA platforms; emphasizes software engineering practices and next-generation hardware-software co-design for AI.

À ce poste, vous ferez partie de l'équipe logicielle MTIA et intégrerez l'équipe plus large chargée de l'IA et des fondements informatiques, en travaillant sur des cadres/frameworks, compilateurs, noyaux d'apprentissage profond et outils pour MTIA.

Responsibilities

  • Development of SW stack with core focus areas: AI frameworks, compiler stack, high performance deep learning kernel development, runtime and tooling for MTIA accelerator
  • Contribute to PyTorch AI framework, core compilers, and GenAI OSS frameworks to support state-of-the-art AI hardware accelerators and optimize performance
  • Analyze deep learning models, develop and implement optimization algorithms for high performance and efficiency gains
  • Collaborate with AI research scientists to accelerate next generation models such as recommendation systems and Generative AI

Qualifications

  • Proven C/C++ programming skills
  • Experience in AI framework development or accelerating deep learning models on hardware architectures
  • Bachelor's degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience
  • Preferred: Experience with PyTorch, TensorFlow, ONNX, TensorRT, GenAI frameworks (e.g., vLLM, SGLang)
  • Preferred: Experience with AI compilers (MLIR/LLVM/IREE/XLA/TVM/Halide), loop optimizations, vectorization, parallelization, SIMD
  • Preferred: Runtime development and system performance optimizations
  • Preferred: High performance DL kernels programming (CUDA, OpenMP/OpenCL) or acceleration libraries on AI hardware (cuBLAS/cuDNN/CUTLASS/HIP/ROCm)
  • Preferred: Tooling for device profiling, tracing, debugging, performance tuning
  • Knowledge of GPU/CPU/AI hardware accelerator architectures
  • Demonstrated ongoing AI skill development and ability to integrate AI tools to optimize workflows
  • Commitment to responsible, ethical AI practices

Skills

Required:C/C++ programmingAI framework development
Nice to have:PyTorch / GenAI frameworks

Benefits

  • Bonus
  • Equity
  • Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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