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云加速工程师 – DPU与AI基础设施

雇主

ByteDance

地点

远程 · Washington · Seattle · 美国

待遇

$面议

工作模式

远程

截止日期

1月7日

福利
Bonus points for hardware acceleration experience,Bonus points for experience with

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岗位摘要

Design and develop high-performance DPU network software and AI/ML infrastructure acceleration solut

岗位职责

About the Team
The ByteDance DPU (Data Processing Unit) team is building the foundational computing infrastructure for ByteDance and Volcano Engine Public Cloud.
Our mission is to advance the architecture, development, and research of next-generation software-hardware technologies across compute, networking, and storage for cloud and AI computing.
Our technology stack spans
- Cloud virtualization & hypervisors
- High-performance user-space network protocols (DPDK, RDMA, etc.)
- High-speed interconnect and virtual switching
- Distributed storage acceleration
- GPU virtualization and scheduling for AI/ML workloads
We work at the intersection of software systems, distributed infrastructure, and custom hardware acceleration, shaping the next wave of cloud-scale computing. Responsibilities
- Design and develop DPU network software with a focus 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, leveraging DPUs, GPUs, and custom hardware to optimize 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.

申请条件

Minimum Qualifications
- B.S./M.S. in Computer Science, Computer Engineering, or related fields; or Ph.D. with strong research/publications.
- 2+ years of relevant industry experience (exception for Ph.D. with strong background).
- Proficiency in C/C++ development and debugging.
- Strong Linux systems development experience.
- Solid understanding of compute, network architecture, and operating systems.
- Background in at least one of: software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.
Preferred Qualifications
- Ph.D. in related fields with research training and publications.
- Experience with software-hardware co-design (networking, storage, or distributed compute).
- Hands-on experience with network virtualization (OVS, SR-IOV, eBPF).
- Familiarity with DPDK and high-performance user-space networking.
- Bonus points for hardware acceleration experience, FPGA/ASIC/GPU/CUDA
- Bonus points for experience with NCCL Collectives along with AI communication patterns and parallelization techniques
- Proven experience designing and building AI/ML infrastructure related but not limited to inference kv cache system, data preprocessing system.

雇主简介

ByteDance is a global technology company known for its content platforms, and its infrastructure team builds and manages hyper-scale data centers worldwide, focusing on power and energy management for data center operations.

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数据来源:ByteDance

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