Graduate Software Engineer – AI & Visual Search Infra

TikTok; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Job summary

TikTok in San Jose is hiring a Software Engineer Graduate for a 2027 start date. The role focuses on TikTok AI Search & Visual Search Infra, designing and building scalable infrastructure to power global search experiences and supporting large-scale offline data processing.

You will work closely with ML researchers and engineers on multi-agent systems, RAG workflows, and LLM/VLM inference, gaining hands-on experience across distributed systems and cutting-edge search technologies.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Strong programming skills and fundamentals.
• Familiarity with Linux and at least one language (C++, Java, Python, or Go).
• Strong analytical and problem-solving abilities.
• Effective communication and collaboration skills.

Responsibilities

• Design, build, and optimize large-scale infrastructure for TikTok AI Search & Visual Search.
• Evolve search agent platform with multi-agent orchestration, RAG indexing, and memory management.
• Deploy and optimize LLM/VLM post-training and inference, including GPU acceleration.
• Build and improve offline document processing pipelines and multi-stage retrieval services.
• Develop scalable data pipelines for billion/trillion-scale datasets across offline and streaming workloads.
• Collaborate with ML, product, and engineering teams to deliver AI-powered search experiences.

Skills

Programming fundamentals

Linux

C++

Java

Python

Go

Problem solving

Communication

Education

Bachelor's degree in Computer Science or related

Job description

TikTok in San Jose is hiring a Software Engineer Graduate for a 2027 start date. The role focuses on TikTok AI Search & Visual Search Infra, designing and building scalable infrastructure to power global search experiences and supporting large-scale offline data processing.

You will work closely with ML researchers and engineers on multi-agent systems, RAG workflows, and LLM/VLM inference, gaining hands-on experience across distributed systems and cutting-edge search technologies.