ByteDance

2 days ago

Research Engineer Graduate (AI Training Systems Reliability & Performance - Seed Infra) - 2026 Start (PhD)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 35 minutes agoStatus: Live

Job Summary

Join the Seed Infrastructures team to improve the reliability and performance of large-scale AI training systems across pre-training, fine-tuning, evaluation, and inference. Build observability, profiling, and debugging tools for distributed ML workloads, then identify and optimize bottlenecks across GPUs, networking, and storage. Work on distributed multi-GPU/multi-node training frameworks and collaborate with model and infrastructure teams on scalability, efficiency, and incident analysis.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Education & Training

Seniority: Graduate level

Key Responsibilities

•Improve reliability and performance of large-scale training systems across pre-training, fine-tuning, evaluation, and inference.
•Build observability, profiling, and debugging tools for distributed ML workloads.
•Identify and optimize performance bottlenecks across GPU, networking, and storage layers.
•Contribute to distributed training frameworks in multi-GPU and multi-node environments.
•Support incident analysis and operational stability.

Key Requirements

•Completing or recently completing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Strong programming skills in C++ and Python.
•Solid understanding of PyTorch training workflows and distributed runtime behavior.
•Familiarity with CUDA execution, NCCL communication, and GPU systems fundamentals.
•Experience with performance profiling and debugging tools such as torch.profiler and Nsight.

Experience:AI trainingDistributed trainingReinforcement learning

Education:PhD / Doctorate in Software Development, Computer Science, Computer Engineering (or related technical discipline)

Tech Stack:C++PythonPyTorchCUDANCCLTorch.profilerNsightFSDPMegatron-LMDistributed trainingMulti-GPUMulti-nodeReinforcement learning

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

2 days ago

Research Engineer Graduate (AI Training Systems Reliability & Performance - Seed Infra) - 2026 Start (PhD)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 35 minutes agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Education & Training

Seniority: Graduate level

Key Responsibilities

•Improve reliability and performance of large-scale training systems across pre-training, fine-tuning, evaluation, and inference.
•Build observability, profiling, and debugging tools for distributed ML workloads.
•Identify and optimize performance bottlenecks across GPU, networking, and storage layers.
•Contribute to distributed training frameworks in multi-GPU and multi-node environments.
•Support incident analysis and operational stability.

Key Requirements

•Completing or recently completing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Strong programming skills in C++ and Python.
•Solid understanding of PyTorch training workflows and distributed runtime behavior.
•Familiarity with CUDA execution, NCCL communication, and GPU systems fundamentals.
•Experience with performance profiling and debugging tools such as torch.profiler and Nsight.

Experience:AI trainingDistributed trainingReinforcement learning

Education:PhD / Doctorate in Software Development, Computer Science, Computer Engineering (or related technical discipline)

Tech Stack:C++PythonPyTorchCUDANCCLTorch.profilerNsightFSDPMegatron-LMDistributed trainingMulti-GPUMulti-nodeReinforcement learning

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn