19 hours ago

GPU/AI Application System Software Engineer Intern (System Technologies and Engineering) - 2026 Summer (BS/MS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Work on TikTok’s GPU/AI system software stack for deep learning and high-performance computing (HPC) in large-scale data centers. You’ll design performance benchmarks and testing methodologies for LLM training/inference, build automation for benchmark tools using Python, and collaborate on bottleneck identification and debugging to improve system performance. The 12-week internship program runs in May/June 2026, starting on one of several specified dates.

Location: San Jose

Workplace: Onsite

Employment Type: Internship · 3 months

Job Function: Software Engineering

Seniority: Intern level

Key Responsibilities

•Design and implement performance benchmarks and testing methodologies to evaluate system performance.
•Develop benchmark tools and optimize AI workloads for large-scale LLM training and inference and HPC workloads.
•Build Python scripts to automate testing of benchmark tools.
•Collaborate with internal teams to identify system bottlenecks, debug issues, and improve performance.

Key Requirements

•Commit to a 12-week full-time internship during Summer 2026.
•Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related major.
•Background with GPU/CPU benchmarking and familiarity with ML/DL techniques and frameworks such as TensorFlow or PyTorch.
•Exposure to testing automation for various applications.
•Proficiency in Python and C/C++ and hands-on experience with Linux-based systems.

Experience:High-performance computingAIDeep learningLLM trainingBenchmarking

Education:

Skills:Independent workProject delivery

Tech Stack:PythonC/C++LinuxTensorFlowPyTorchCUDAMPINCCLUCXNVSHMEMGit

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

19 hours ago

GPU/AI Application System Software Engineer Intern (System Technologies and Engineering) - 2026 Summer (BS/MS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Internship · 3 months

Job Function: Software Engineering

Seniority: Intern level

Key Responsibilities

•Design and implement performance benchmarks and testing methodologies to evaluate system performance.
•Develop benchmark tools and optimize AI workloads for large-scale LLM training and inference and HPC workloads.
•Build Python scripts to automate testing of benchmark tools.
•Collaborate with internal teams to identify system bottlenecks, debug issues, and improve performance.

Key Requirements

•Commit to a 12-week full-time internship during Summer 2026.
•Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related major.
•Background with GPU/CPU benchmarking and familiarity with ML/DL techniques and frameworks such as TensorFlow or PyTorch.
•Exposure to testing automation for various applications.
•Proficiency in Python and C/C++ and hands-on experience with Linux-based systems.

Experience:High-performance computingAIDeep learningLLM trainingBenchmarking

Education:

Skills:Independent workProject delivery

Tech Stack:PythonC/C++LinuxTensorFlowPyTorchCUDAMPINCCLUCXNVSHMEMGit

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn