TikTok
Software Engineer - Recommendation Infrastructure, Performance Efficiency
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- No specific number of years stated.
- Education
- Bachelor’s degree or above in Computer Science, Software Engineering, or a related technical field.
About the job
Build and optimize large-scale recommendation infrastructure, including high-performance online serving, resource efficiency, reliability, and automation workflows.
What you'll do
- Design and improve global recommendation serving systems, addressing performance, reliability, scalability, latency, throughput, and cost.
- Identify and resolve CPU, memory, bandwidth, GPU, and resource-allocation bottlenecks.
- Build automation workflows and pipelines for recommendation-related generation, feature processing, training data, and online development.
What they ask for
- Experience building scalable backend, distributed, infrastructure, or high-performance online systems.
- Strong programming skills in at least one systems language, such as C++, C, Go, or Java.
- Understanding of data structures, algorithms, operating systems, networking, and distributed systems.
- Experience with performance analysis, debugging, reliability improvement, or large-scale service optimization.
Nice to have
- Experience with recommendation, search, advertising, machine-learning, or large-scale serving infrastructure; production C++ optimization is also relevant.
- Experience with large-scale data systems or AI-agent/LLM-based automation and agentic workflows.
Tools
C++, C, Go, Java, Flink, Spark, Kafka
AI focus
Develop agentic engineering automation and closed-loop systems to observe, diagnose, plan, execute, verify, and improve recommendation infrastructure and workflows.
Model-written summary · the original posting is authoritative