ByteDance

6 days ago

Cloud Acceleration Engineer Graduate (DPU & AI Infra) - 2026 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 51 minutes agoStatus: Live

Job Summary

Build high-performance DPU networking software for cloud and AI infrastructure, focusing on low latency, reliability, and end-to-end performance optimization. Collaborate with hardware teams on software-hardware co-design for networking and storage acceleration, and explore AI/ML infrastructure acceleration using DPUs, GPUs, and custom hardware. Drive architecture design, technical proposals, and long-term research directions across OS kernels, drivers, and user-space runtime systems.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Graduate level

Key Responsibilities

•Design and develop DPU network software focused on high performance, low latency, and reliability.
•Collaborate with hardware teams to build software-hardware co-design solutions for networking and storage acceleration.
•Explore AI/ML infrastructure acceleration using DPUs, GPUs, and custom hardware for distributed training and inference.
•Drive end-to-end performance optimization from OS kernels and drivers to user-space runtime systems.
•Contribute to architecture design, technical proposals, and long-term research directions.

Key Requirements

•Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•2+ years of relevant industry experience (or a PhD with a strong background).
•Proficiency in C/C++ development and debugging.
•Strong Linux systems development experience.
•Solid understanding of compute, network architecture, and operating systems, including experience in software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.

Experience:2+ yearsAI/MLDistributed systemsHigh-performance networkingCloud infrastructureSoftware-hardware co-design

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

Tech Stack:C/C++LinuxCloud virtualizationHypervisorsDPDKRDMAHigh-speed interconnectVirtual switchingDistributed storage accelerationGPU virtualizationGPU schedulingAI/MLNetwork virtualizationOVSSR-IOVEBPFOS kernelsDriversUser-space runtime systemsFPGA

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

6 days ago

Cloud Acceleration Engineer Graduate (DPU & AI Infra) - 2026 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 51 minutes agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Graduate level

Key Responsibilities

•Design and develop DPU network software focused on high performance, low latency, and reliability.
•Collaborate with hardware teams to build software-hardware co-design solutions for networking and storage acceleration.
•Explore AI/ML infrastructure acceleration using DPUs, GPUs, and custom hardware for distributed training and inference.
•Drive end-to-end performance optimization from OS kernels and drivers to user-space runtime systems.
•Contribute to architecture design, technical proposals, and long-term research directions.

Key Requirements

•Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•2+ years of relevant industry experience (or a PhD with a strong background).
•Proficiency in C/C++ development and debugging.
•Strong Linux systems development experience.
•Solid understanding of compute, network architecture, and operating systems, including experience in software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.

Experience:2+ yearsAI/MLDistributed systemsHigh-performance networkingCloud infrastructureSoftware-hardware co-design

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

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