Drimva

ByteDance

Software Engineer Graduate (AML-Engine-Orchestration) - 2027 Start

San Jose, California · Full-time · Posted Oct 28, 2026

Education
Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field; candidates may be completing or have recently completed the degree.

About the job

Builds orchestration and resource-management systems for machine-learning infrastructure and online model serving across ByteDance products.

What you'll do

  • Develop orchestration capabilities for workloads, including Kubernetes Operators, container runtimes, and lifecycle management.
  • Build multi-tenant resource scheduling and quota systems to improve GPU utilization and cost efficiency.
  • Develop model-serving lifecycle, traffic management, scheduling, scaling, and disaster-recovery capabilities.

What they ask for

  • Completing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
  • Proficiency in at least one of Go, C++, or Python, with foundations in data structures, algorithms, and software engineering.
  • Familiarity with Linux and foundational understanding of operating systems, computer networks, concurrent programming, and distributed systems.
  • Demonstrated ownership and collaboration through engineering projects, coursework, research, internships, or open-source contributions.

Nice to have

  • Experience with Kubernetes, container runtimes, resource scheduling, quota management, multi-tenant systems, or FinOps.
  • Experience with model-serving systems, online services, traffic management, autoscaling, distributed systems, or GPU/NPU programming.

Tools

Go, C++, Python, Linux, Kubernetes, Volcano, Koordinator, OpenKruise

AI focus

Builds machine-learning infrastructure and orchestration for online model serving, including model deployment, scaling, scheduling, and traffic management.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)