ByteDance
Software Engineer Graduate (AI Infrastructure — Compute Efficiency & Scheduling) - 2027 Start
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- Completing or recently completed a Bachelor’s/Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
About the job
Build and improve ByteDance’s global compute infrastructure, including intelligent scheduling and automation, to run workloads more efficiently and reliably.
What you'll do
- Help develop AI-driven scheduling for large-scale workloads.
- Improve use of compute, memory, and power to increase efficiency and lower AI infrastructure costs.
- Support platform reliability across regions and build automation, including AI-agent-assisted tools.
What they ask for
- Completing or recently completed a bachelor’s or master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Proficiency in at least one of Go, C++, Rust, Python, or Java.
- A solid foundation in at least one of operating systems, distributed systems, computer architecture, networking, or building large-scale software.
Nice to have
- Interest in large-scale systems, cloud infrastructure, or AI/ML infrastructure, demonstrated through relevant experience or projects.
- Hands-on exposure to containers or cloud-native systems such as Kubernetes; open-source systems contributions are a bonus.
Tools
Go, C++, Rust, Python, Java, Kubernetes
AI focus
Develop AI-driven workload scheduling and AI-agent-assisted tools for infrastructure diagnosis and self-healing.
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