ByteDance

6 days ago

Cloud Acceleration Engineer – DPU & AI Infra

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 55 minutes agoStatus: Live

Job Summary

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

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop DPU network software emphasizing high performance, low latency, and reliability.
•Collaborate with hardware teams to deliver 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.
•Lead end-to-end performance optimization across OS kernels/drivers and user-space runtime systems.
•Contribute to architecture design, technical proposals, and long-term research directions.

Key Requirements

•B.S./M.S. in Computer Science, Computer Engineering, or related fields, or a Ph.D. with strong research/publications.
•2+ years of relevant industry experience (or Ph.D. with strong background).
•Proficiency in C/C++ development and debugging.
•Strong Linux systems development experience and understanding of compute, network architecture, and operating systems.
•Background in software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.

Experience:2+ yearsDistributed systemsHigh-performance networkingAI/ML infrastructureSoftware-hardware co-design

Education:

Tech Stack:CC++LinuxDPDKRDMAGPU virtualizationGPUGPU schedulingGPU virtualization and schedulingOVSOpen vSwitchSR-IOVEBPFFPGAASICCUDANCCL CollectivesNCCLInference kv cacheLinux kernels

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 – DPU & AI Infra

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 55 minutes agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop DPU network software emphasizing high performance, low latency, and reliability.
•Collaborate with hardware teams to deliver 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.
•Lead end-to-end performance optimization across OS kernels/drivers and user-space runtime systems.
•Contribute to architecture design, technical proposals, and long-term research directions.

Key Requirements

•B.S./M.S. in Computer Science, Computer Engineering, or related fields, or a Ph.D. with strong research/publications.
•2+ years of relevant industry experience (or Ph.D. with strong background).
•Proficiency in C/C++ development and debugging.
•Strong Linux systems development experience and understanding of compute, network architecture, and operating systems.
•Background in software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.

Experience:2+ yearsDistributed systemsHigh-performance networkingAI/ML infrastructureSoftware-hardware co-design

Education:

Tech Stack:CC++LinuxDPDKRDMAGPU virtualizationGPUGPU schedulingGPU virtualization and schedulingOVSOpen vSwitchSR-IOVEBPFFPGAASICCUDANCCL CollectivesNCCLInference kv cacheLinux kernels

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