AI Software Engineer: Code Graph & Quality Validation

TikTok; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off + holidays

Job summary

TikTok is seeking an AI Software Engineer for Code Intelligence & Quality Validation in San Jose. You will design and implement Code Graph capabilities, enabling static relationships, dynamic traces, and robust graph data models.

You will contribute to architecture, build static and dynamic validation, and collaborate across teams to improve reliability of client applications. The role demands strong programming skills (Java/Kotlin/Go/Python/C++), system design maturity, and a curiosity-driven

Qualifications

• Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field, with 3+ years of professional software development experience.
• Strong programming fundamentals and proficiency in at least one mainstream programming language, such as Java / Kotlin / Go / Python / C++, with solid coding practices and engineering skills.
• Strong system design and software architecture skills, with the ability to decompose complex systems, define clear module boundaries, interfaces, and dependencies, and make sound trade-offs across maintainability, scalability, reliability, and performance.
• Hands-on experience with large-scale or complex engineering projects, with the ability to independently analyze problems, design technical solutions, implement core components, and drive solutions to production.
• Strong foundation in data structures and algorithms, with strong problem abstraction and analytical skills and the ability to quickly understand complex codebases and execution flows.
• Strong investigative mindset and curiosity about unfamiliar problems, with the ability to learn deeply from technical documentation, source code, papers, and other resources and translate insights into practical engineering solutions.
• Strong learning agility, with the ability to quickly ramp up on new technical domains, codebases, and complex systems.

Responsibilities

• Design, develop, and optimize Code Graph capabilities, including static relationship extraction, dynamic trace processing, execution path reconstruction, and graph data modeling.
• Contribute to the architecture and technical design of core systems, with a system-level view of module boundaries, dependencies, scalability, and maintainability, and drive technical solutions through implementation.
• Design and develop static validation capabilities based on the code graph, including mining and validating logical and soft constraints, while continuously improving rule accuracy and coverage.
• Build dynamic validation capabilities for production issue detection, reproduction, root cause localization, and assisted fixing, and develop reusable solutions for common problem patterns.
• Conduct in-depth analysis of complex production quality issues by leveraging code, traces, and other runtime signals, identify root causes, extract generalized patterns, and drive automated validation coverage.
• Develop a deep understanding of code organization, module dependencies, build pipelines, and runtime behavior in large-scale client applications, and explore how Code Intelligence can improve the understandability and quality of complex codebases.
• Explore and introduce techniques in code analysis, program slicing, anomaly detection, LLMs / Agents, and related areas, and apply them to real-world engineering problems.
• Collaborate closely with client, backend, and infrastructure teams to drive

Skills

Java

Kotlin

Go

Python

C++

Education

Bachelor's degree or above in CS/SE/AI

Job description

TikTok is seeking an AI Software Engineer for Code Intelligence & Quality Validation in San Jose. You will design and implement Code Graph capabilities, enabling static relationships, dynamic traces, and robust graph data models.

You will contribute to architecture, build static and dynamic validation, and collaborate across teams to improve reliability of client applications. The role demands strong programming skills (Java/Kotlin/Go/Python/C++), system design maturity, and a curiosity-driven