ByteDance
Senior Software Engineer, AI Infrastructure-Compute Efficiency
San Jose, California · Senior · Full-time · Posted Oct 28, 2026
- Experience
- 3+ years of relevant industry experience; Ph.D. degree and strong publication records can be an exception.
- Education
- B.S./M.S. degree in Computer Science, Computer Engineering or a related area; Ph.D. degree and strong publication records can be an exception.
About the job
Designs and optimizes large-scale Kubernetes infrastructure, resource scheduling, and runtime systems to improve performance, reliability, and compute efficiency for AI/LLM and other workloads.
What you'll do
- Evolve Kubernetes platform architecture and improve control-plane and data-plane performance.
- Build observability, performance analysis, and SLO frameworks for production optimization.
- Develop resource management, scheduling, and container runtime systems for heterogeneous compute environments.
What they ask for
- B.S./M.S. in Computer Science, Computer Engineering, or a related area; Ph.D. with strong publication records may be an exception.
- Solid understanding of at least one area: Unix/Linux, distributed and parallel systems, high-performance networking, or large-scale software systems.
- Familiarity with Docker and Kubernetes.
- Proficiency in at least one of Python, Go, C++, Rust, or Java.
Nice to have
- Knowledge of big data or machine learning workflows in Kubernetes, or experience with cloud-native open-source projects.
- Familiarity with observability tools such as Prometheus, Grafana, or distributed tracing systems.
Tools
Kubernetes, Docker, Python, Go, C++, Rust, Java, Prometheus
AI focus
Optimizes compute infrastructure and resource utilization for AI/LLM workloads.
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