Responsibilitie
About the Team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities - Optimize training performance for large-scale foundation models through compiler-level techniques, including graph optimization, operator fusion, and kernel generation. - Develop and extend ML compilation capabilities based on the PyTorch compilation stack (e.g. FX, Dynamo, Inductor) to improve training efficiency across heterogeneous GPU platforms. - Design and optimize high-performance GPU kernels for training workloads. - Conduct performance profiling and analysis of large-scale training jobs; identify and resolve bottlenecks in collaboration with research and infrastructure teams.
Qualification
Minimum Qualification(s) - Bachelor's degree or above in Computer Science, Electrical Engineering, or a related field. - Strong proficiency in C/C++ and Python; solid foundations in algorithms, data structures, and systems programming. - Hands-on experience in training-side performance optimization for deep learning workloads. - Hands-on experience writing and optimizing GPU kernels (e.g., CUDA, Triton). - Experience with the PyTorch compilation stack, meeting at least one of the following: direct experience using, debugging, or extending Inductor or FX; proficiency in Triton kernel development; or solid experience with PyTorch computation graph work (graph optimization, graph capture, operator fusion). Preferred Qualification(s) - Experience with TorchDynamo or bytecode-level program transformation. - Experience with Triton compiler internals or other ML compiler backends (e.g., MLIR, LLVM). - Contributions to related open-source projects (e.g., PyTorch, Triton, FlashAttention). - Publications in relevant venues (e.g., MLSys, OSDI, ASPLOS).
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $241680 - $456000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
