Research Engineer — Training Performance & ML Compilation (Torch Compile) - Seed Infra
ByteDanceResponsibilities
- Optimize large-scale foundation-model training through compiler-level graph optimization, operator fusion, and kernel generation.
- Develop and extend PyTorch compilation capabilities across FX, Dynamo, and Inductor for heterogeneous GPU platforms.
- Design and optimize high-performance GPU kernels for training workloads.
- Profile large-scale training jobs, analyze performance bottlenecks, and resolve them with research and infrastructure teams.
Requirements
- Bachelor's degree or above in Computer Science, Electrical Engineering, or a related field.
- Strong proficiency in C/C++ and Python, with foundations in algorithms, data structures, and systems programming.
- Hands-on experience optimizing training-side performance for deep-learning workloads.
- Hands-on experience writing and optimizing GPU kernels using technologies such as CUDA or Triton.
- Experience using, debugging, or extending Inductor or FX; developing Triton kernels; or performing PyTorch computation-graph optimization, capture, or operator fusion.
- Preferred: experience with TorchDynamo or bytecode-level program transformation, Triton compiler internals, MLIR, LLVM, relevant open-source projects, or publications in venues such as MLSys, OSDI, or ASPLOS.
Categories
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.