> Markdown version of [/jobs/ext/4629777-sr-ai-network-architect-infrastructure](https://www.wearedevelopers.com/jobs/ext/4629777-sr-ai-network-architect-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr. AI Network Architect, Infrastructure

- **Company:** BYTEDANCE INC.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $208,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Border Gateway Protocol, Data Centers, Distributed Computing Environment, Network Architecture, Performance Tuning, Remote Direct Memory Access, Software Deployment, TCP/IP, Performance Testing, Computer Network Technologies, Data Center Networking, Information Technology
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_5d2e58002a50fd834d1b907bb6230586

## About the Role

* Bachelor or higher degree in computer science, electronic engineering, network engineering or related fields.
 * Deep expertise in high-performance networking technologies, including RDMA, PFC, ECN, DLB, GLB, QoS, and AR, with hands-on experience optimizing large-scale systems.
 * Strong foundation in core networking protocols and architectures such as TCP/IP, BGP, SRv6, VXLAN, and ACLs.
 * Solid understanding of AI training and inference workloads, including distributed training patterns and performance bottlenecks.
 * Strong knowledge of collective communication principles and their impact on large-scale GPU/accelerator clusters.
 * Hands-on experience with performance testing and benchmarking tools such as perftest and NCCL tests, and the ability to interpret results to drive architectural decisions.
 * Proven experience designing and deploying AI-focused network architectures in production environments.

 * Preferred Qualifications
 * Experience operating and scaling large AI or HPC clusters in production.
 * Experience working with GPU/accelerator fabrics and data center-scale networking.
 * Strong cross-functional collaboration skills and the ability to influence technical direction across teams.

## Description

About the Team
The Network Architecture team brings together top industry talent and is responsible for the long-term planning, design, testing, and validation of ByteDance's global network architecture. Our scope spans multiple domains, including Data Center Networks (DCN), High-Performance Networks (HPN), and the global backbone. The networks we design and build power some of the world's most popular applications, including Douyin and TikTok, supporting hundreds of millions of users worldwide with high performance, scalability, and reliability.

We are seeking a Senior AI Network Architect to lead the design and evolution of high-performance network infrastructure supporting large-scale AI training and inference workloads. This role requires deep expertise in AI data center networking, strong architectural design, sharp insight into the industry, and the ability to drive complex systems from concept through production deployment.

 * Lead requirement analysis and capacity planning for AI training and inference networks, with a strong understanding of workload characteristics and scalability needs.
 * Analyze industry trends and emerging technologies in AI networking, and translate them into practical architectural decisions.
 * Architect end-to-end AI network solutions optimized for performance, scalability, reliability, and cost.
 * Own network architecture validation, benchmarking, and performance tuning for large-scale AI clusters.
 * Partner closely with infrastructure, platform, and operations teams to ensure smooth deployment and production rollout of new network architectures.
 * Provide technical leadership and mentorship to engineers, and contribute to architecture reviews and long-term infrastructure roadmaps.