ByteDance

1 day ago

Tech Lead, Research Scientist - DPU & AI Infra

✓ 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

Lead research and engineering for ByteDance’s DPU (Data Processing Unit) and AI infrastructure at the intersection of software systems, distributed computing, and custom hardware acceleration. Design and develop high-performance, low-latency DPU networking software, collaborate on software-hardware co-design for networking and storage acceleration, and drive end-to-end performance tuning across kernels, drivers, and user-space runtimes for training and inference.

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 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

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

Experience:5+ yearsAI/ML infrastructureDistributed systemsHigh-performance networkingSoftware-hardware co-design

Education:Master's

Tech Stack:CC++LinuxDPDKRDMAGPU virtualizationGPUOVSSR-IOVEBPFCUDAFPGAASICNCCL

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

Tech Lead, Research Scientist - DPU & AI Infra

✓ 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: 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 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

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

Experience:5+ yearsAI/ML infrastructureDistributed systemsHigh-performance networkingSoftware-hardware co-design

Education:Master's

Tech Stack:CC++LinuxDPDKRDMAGPU virtualizationGPUOVSSR-IOVEBPFCUDAFPGAASICNCCL

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