Student Researcher - Compiler (Seed Infra) - 2026 Start (PhD)

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

• Contribute to AI compiler optimizations for training and inference workloads
• Develop and extend MLIR-based compiler passes for graph lowering, optimization, and code generation
• Optimize model execution on GPU and NPU accelerators, focusing on performance, memory efficiency, and scalability
• Support model deployment pipelines, including compilation, packaging, and runtime integration
• Assist with distributed training and inference acceleration, such as parallel execution, communication optimization, and runtime scheduling
• Benchmark, profile, and analyze performance of large-scale models across different hardware backends
• Collaborate with researchers and engineers to translate model and system requirements into compiler and runtime improvements

Qualifications

Minimum Qualifications

• Currently pursuing a PhD degree in Computer Science, Electrical Engineering, or related technical fields
• Experience using or developing open source frameworks for LLM inference such as vLLM or SGLang
• Proficient in at least one deep learning framework (e.g., PyTorch, Megatron, DeepSpeed, JAX), with experience in model inference workflows
• Understanding of modern computing systems, including hardware, storage, and networking, and how they impact ML workloads
• Familiarity with compilers or model optimization pipelines (e.g., PyTorch Dynamo), or related model execution workflows
• Able to commit to working for 12 weeks in 2026

Preferred Qualifications

• Experience with distributed or large-scale ML systems, including training or inference pipelines and related optimizations (e.g., FSDP, DeepSpeed, Megatron, GSPMD)
• Experience with GPU/TPU/NPU programming and performance optimization, or high-performance computing and communication (e.g., CUDA, Triton, NCCL, RDMA)
• Understanding of AI compiler and model optimization stacks (e.g., torch.fx, PyTorch Dynamo, XLA, MLIR)

Pay

The hourly rate range for this position is $85–$85.

Benefits

• Day one access to health insurance, life insurance, and wellbeing benefits
• 10 paid holidays per year
• Paid sick time (56 hours if hired in first half of year, 40 if hired in second half)
• Eligibility for housing allowance (for interns not working 100% remote)

About Doubao (Seed)

Established in 2023, the ByteDance Seed team is dedicated to pioneering new paths toward artificial general intelligence. We aspire to advance the frontier of intelligence to drive progress for both technology and society. With a long-term vision for the AI sector, the Seed team's research spans MLLM, GenMedia, AI for Science, and Robotics. We maintain a global presence with laboratories and career opportunities across China, Singapore, and the United States. To date, we have launched industry-leading general foundation models and cutting-edge multimodal capabilities. Our technology powers over 50 application scenarios — including Doubao, Jimeng, TRAE, Dola and Dreamnia — and serves enterprise customers through Volcano Engine and BytePlus. Third-party data shows that the Doubao App ranks first in user volume in the Chinese market, while Doubao foundation models lead the industry in average daily token consumption.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect — and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life — a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless.