Software Engineer Graduate (Cloud Native Infrastructure) - 2026 Start (PhD)

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: phdSkills: ["Documentation","Collaboration","Problem-solving"]

Work on ByteDance’s Compute Infrastructure team building cloud-native, Kubernetes-based infrastructure that powers large-scale clusters for AI/LLM workloads. Help analyze platform enhancements focused on performance, scalability, and resilience; optimize Kubernetes resource utilization and pod lifecycle behavior; and contribute to small-scale scheduling and resource management tooling. Collaborate with senior engineers and CNCF/SIG experts, and create technical documentation such as runbooks and architecture diagrams.

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FursaFursa
ByteDance
ByteDance
1 month ago

Software Engineer Graduate (Cloud Native Infrastructure) - 2026 Start (PhD)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 31 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Work on ByteDance’s Compute Infrastructure team building cloud-native, Kubernetes-based infrastructure that powers large-scale clusters for AI/LLM workloads. Help analyze platform enhancements focused on performance, scalability, and resilience; optimize Kubernetes resource utilization and pod lifecycle behavior; and contribute to small-scale scheduling and resource management tooling. Collaborate with senior engineers and CNCF/SIG experts, and create technical documentation such as runbooks and architecture diagrams.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Graduate level

Key Responsibilities

  • •Analyze and support enhancements to Hyper-Scale AI Infrastructure platforms to improve performance, scalability, and resilience for traditional and LLM workloads.
  • •Contribute to Kubernetes performance optimization by monitoring pod lifecycle, tracking resource utilization, and analyzing behavior under varying loads with senior engineers.
  • •Lead small-scale development tasks for resource management and scheduling in Kubernetes clusters, including testing config updates and automating resource allocation workflows.
  • •Participate in team discussions on AI infrastructure design and optimization, proposing ideas and solutions based on academic and personal project experience.
  • •Develop and maintain technical documentation such as runbooks, architecture diagrams, and process guides to improve knowledge sharing and operational efficiency.

Key Requirements

  • •Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or related technical discipline.
  • •Proficiency in at least one major programming language such as Python, Go, C++, Rust, or Java.
  • •Solid understanding of at least one of: Unix/Linux environments, distributed and parallel systems, high-performance networking systems, or large-scale software systems.
  • •Hands-on project experience with container/orchestration technologies like Docker and Kubernetes via internships, coursework, or personal projects.
  • •Experience developing or contributing to cloud-native open-source projects.
Experience:Cloud nativeKubernetesOpen sourceAI/LLMDistributed systems
Education:PhD / Doctorate in Software Development, Computer Science, Computer Engineering (or related technical discipline)
Skills:DocumentationCollaborationProblem-solving
Tech Stack:KubernetesServerlessDockerEtcdService MeshUnix/LinuxPythonGoC++RustJavaCPUGPUCPU/GPU/power (power)Hyper-Scale AI InfrastructureKubewharfKubeBrainKatalystGodel

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn