ByteDance

2 days ago

Software Engineer Graduate (Cloud Native Infrastructure) - 2026 Start (BS/MS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join the Compute Infrastructure team to help optimize Kubernetes-based infrastructure for AI and LLM workloads. You’ll assist in performance, scalability, and resilience enhancements, analyze resource utilization and system behavior under load, and lead small development tasks for Kubernetes resource management and scheduling. Work closely with senior engineers, contribute to efficiency tooling, and maintain technical documentation and runbooks while building for global scale.

Location: San Jose

Employment Type: Full time

Job Function: Software Engineering

Seniority: Graduate level

Key Responsibilities

•Assist in analyzing and supporting enhancements to Hyper-Scale AI Infrastructure platforms for performance, scalability, and resilience across traditional workloads and LLM applications.
•Contribute to performance optimization for Kubernetes-based infrastructure, including monitoring pod lifecycle, tracking resource utilization, and analyzing system behavior under varying load.
•Lead small-scale development tasks related to resource management and scheduling in Kubernetes clusters, such as testing configuration updates and automating resource allocation workflows.
•Engage in team discussions on AI infrastructure design and optimization strategies, proposing insights and potential solutions using academic knowledge and personal projects.
•Develop and maintain technical documentation, including runbooks, architecture diagrams, and process guides, to improve knowledge sharing and operational efficiency.

Key Requirements

•Completing or recently completed a Bachelor’s/ Master’s degree in Software Development, Computer Science, Computer Engineering, or a 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: Unix/Linux environments, distributed and parallel systems, high-performance networking systems, or developing large-scale software systems.
•Hands-on project experience with container and orchestration technologies such as Docker and Kubernetes through internships, coursework, or personal projects.
•Experience developing or contributing to cloud-native open-source projects.

Education:Bachelor's in Software Development, Computer Science, Computer Engineering (or related technical discipline)

Tech Stack:KubernetesServerlessKubewharfKubeBrainKatalystGodelDockerHyper-Scale AI InfrastructureUnix/LinuxDistributed systemsParallel systemsHigh-performance networkingPythonGoC++RustJava

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

Website LinkedIn

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ByteDance

2 days ago

Software Engineer Graduate (Cloud Native Infrastructure) - 2026 Start (BS/MS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Jose

Employment Type: Full time

Job Function: Software Engineering

Seniority: Graduate level

Key Responsibilities

•Assist in analyzing and supporting enhancements to Hyper-Scale AI Infrastructure platforms for performance, scalability, and resilience across traditional workloads and LLM applications.
•Contribute to performance optimization for Kubernetes-based infrastructure, including monitoring pod lifecycle, tracking resource utilization, and analyzing system behavior under varying load.
•Lead small-scale development tasks related to resource management and scheduling in Kubernetes clusters, such as testing configuration updates and automating resource allocation workflows.
•Engage in team discussions on AI infrastructure design and optimization strategies, proposing insights and potential solutions using academic knowledge and personal projects.
•Develop and maintain technical documentation, including runbooks, architecture diagrams, and process guides, to improve knowledge sharing and operational efficiency.

Key Requirements

•Completing or recently completed a Bachelor’s/ Master’s degree in Software Development, Computer Science, Computer Engineering, or a 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: Unix/Linux environments, distributed and parallel systems, high-performance networking systems, or developing large-scale software systems.
•Hands-on project experience with container and orchestration technologies such as Docker and Kubernetes through internships, coursework, or personal projects.
•Experience developing or contributing to cloud-native open-source projects.

Education:Bachelor's in Software Development, Computer Science, Computer Engineering (or related technical discipline)

Tech Stack:KubernetesServerlessKubewharfKubeBrainKatalystGodelDockerHyper-Scale AI InfrastructureUnix/LinuxDistributed systemsParallel systemsHigh-performance networkingPythonGoC++RustJava

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn