ByteDance

2 days ago

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: 40 minutes agoStatus: Live

Job Summary

Build and advance ByteDance’s DPU network software for high-performance, low-latency, reliable cloud and AI computing. 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 end-to-end performance optimization across OS kernels, drivers, and user-space runtime systems while shaping long-term technical proposals and research directions.

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 create 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 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.
•3+ years of relevant industry experience (or exception for Ph.D. with strong background).
•Proficiency in C/C++ development and debugging.
•Strong Linux systems development experience with 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+ yearsDistributed systemsHigh-performance networkingAI/ML infrastructureCloud computingSoftware-hardware co-design

Education:

Tech Stack:CC++LinuxDPDKRDMAOVSSR-IOVEBPFFPGAASICGPUCUDANCCLGPU virtualizationHypervisorsUser-space networkingOS kernelsDrivers

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

2 days ago

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: 40 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 focused on high performance, low latency, and reliability.
•Collaborate with hardware teams to create 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 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.
•3+ years of relevant industry experience (or exception for Ph.D. with strong background).
•Proficiency in C/C++ development and debugging.
•Strong Linux systems development experience with 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+ yearsDistributed systemsHigh-performance networkingAI/ML infrastructureCloud computingSoftware-hardware co-design

Education:

Tech Stack:CC++LinuxDPDKRDMAOVSSR-IOVEBPFFPGAASICGPUCUDANCCLGPU virtualizationHypervisorsUser-space networkingOS kernelsDrivers

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