ByteDance

2 days ago

Senior 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: 36 minutes agoStatus: Live

Job Summary

Build and optimize DPU network software for ByteDance’s Volcano Engine Public Cloud, targeting high performance, low latency, and reliability. Partner with hardware teams on software-hardware co-design for networking and storage acceleration, and explore AI/ML infrastructure acceleration for distributed training and inference. Own end-to-end performance improvements across OS kernels/drivers to user-space runtime systems, and contribute to architecture, technical proposals, and research roadmaps.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop DPU network software focused on high performance, low latency, and reliability.
•Collaborate with hardware teams on software-hardware co-design 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 across OS kernels/drivers to 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 Ph.D. with strong research/publications).
•3+ years of relevant industry experience (exception for Ph.D. with strong background).
•Proficiency in C/C++ development and debugging.
•Strong Linux systems development and solid understanding of compute, network architecture, and operating systems.
•Background in software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.

Experience:3+ years

Education:

Skills:DebuggingPerformance optimizationArchitecture designTechnical collaborationResearch-oriented problem solving

Tech Stack:CC++LinuxDPDKRDMAOVSSR-IOVEBPFGPUCUDAFPGAASICNCCLHypervisorsGPU virtualizationDistributed storage accelerationAI/MLInferenceTrainingInference kv cache

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

Loading job details...

Preparing the role view and application actions.

ByteDance

2 days ago

Senior 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: 36 minutes agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop DPU network software focused on high performance, low latency, and reliability.
•Collaborate with hardware teams on software-hardware co-design 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 across OS kernels/drivers to 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 Ph.D. with strong research/publications).
•3+ years of relevant industry experience (exception for Ph.D. with strong background).
•Proficiency in C/C++ development and debugging.
•Strong Linux systems development and solid understanding of compute, network architecture, and operating systems.
•Background in software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.

Experience:3+ years

Education:

Skills:DebuggingPerformance optimizationArchitecture designTechnical collaborationResearch-oriented problem solving

Tech Stack:CC++LinuxDPDKRDMAOVSSR-IOVEBPFGPUCUDAFPGAASICNCCLHypervisorsGPU virtualizationDistributed storage accelerationAI/MLInferenceTrainingInference kv cache

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