ByteDance

1 day ago

Research Intern (SDN Traffic Intelligence & Control) - 2026 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Join the SDN team building cross-layer intelligence for hyper-scale datacenter interconnection. You’ll work on network verification platforms (emulation, control plane verification, and data plane verification) and develop research for network traffic engineering systems that improve global traffic control and bandwidth management. The PhD internship focuses on hands-on contributions to secure, scalable datacenter networks, with opportunities to collaborate with industry experts and support network operators and architects.

Location: San Jose

Workplace: Onsite

Employment Type: Internship

Job Function: Research & Scientific (R&D)

Seniority: Intern level

Key Responsibilities

•Engage in R&D on Network Verification platforms, including emulation, Control Plane Verification, and Data Plane Verification, to support design and troubleshooting of large-scale data center networks.
•Conduct development and research on Network Traffic Engineering platforms to optimize global traffic control and network bandwidth management.
•Develop tools and models that help enable highly available, secure, and scalable datacenter networks and backbone infrastructure.
•Support network operators and architects in designing, operating, maintaining, and troubleshooting ByteDance data center networks.

Key Requirements

•Currently pursuing a PhD in Computer Science, Computer Engineering, or a related technical discipline.
•Proficiency in one or several mainstream programming languages: Go, C++, Python; ability to develop distributed software.
•Quick learning and adaptability, with perseverance and good communication and exchange.
•Demonstrated networking research experience from previous internships, work experience, or publications.
•Research area related to optimization, network traffic engineering, or network verification.

Experience:Networking research

Education:PhD / Doctorate in Computer Science, Computer Engineering, or related technical discipline

Skills:CommunicationProblem-solvingQuick learningAdaptabilityPerseverance

Tech Stack:GoC++Python

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

1 day ago

Research Intern (SDN Traffic Intelligence & Control) - 2026 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Internship

Job Function: Research & Scientific (R&D)

Seniority: Intern level

Key Responsibilities

•Engage in R&D on Network Verification platforms, including emulation, Control Plane Verification, and Data Plane Verification, to support design and troubleshooting of large-scale data center networks.
•Conduct development and research on Network Traffic Engineering platforms to optimize global traffic control and network bandwidth management.
•Develop tools and models that help enable highly available, secure, and scalable datacenter networks and backbone infrastructure.
•Support network operators and architects in designing, operating, maintaining, and troubleshooting ByteDance data center networks.

Key Requirements

•Currently pursuing a PhD in Computer Science, Computer Engineering, or a related technical discipline.
•Proficiency in one or several mainstream programming languages: Go, C++, Python; ability to develop distributed software.
•Quick learning and adaptability, with perseverance and good communication and exchange.
•Demonstrated networking research experience from previous internships, work experience, or publications.
•Research area related to optimization, network traffic engineering, or network verification.

Experience:Networking research

Education:PhD / Doctorate in Computer Science, Computer Engineering, or related technical discipline

Skills:CommunicationProblem-solvingQuick learningAdaptabilityPerseverance

Tech Stack:GoC++Python

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