Lead, AI Compute Infra for Scalable LLM Inference

ByteDance; Seattle (WA); On-site; USD 232,560 - 427,500; Full time

Job summary

ByteDance in Seattle is seeking a Tech Lead Software Engineer for AI Compute Infrastructure to design and operate large‑scale, GPU‑accelerated inference platforms that power cutting‑edge AI workloads across the company’s data centers. You will lead architecture, tooling, and performance tuning in a fast‑paced environment.

You will collaborate with platform, ML, and product teams to deliver reliable inference systems, drive improvements in scheduling and resource management, and contribute to

Qualifications

• BS/MS in CS/CE or related field with 5 years of relevant experience (PhD with strong systems/ML publications also considered).
• Strong understanding of large model inference, distributed and parallel systems, and/or high‑performance networking systems.
• Hands‑on experience building cloud or ML infrastructure in areas such as resource management, scheduling, request routing, monitoring, or orchestration.
• Proficiency in at least one major programming language (Go, Rust, Python, or C++).

Responsibilities

• Design and build large‑scale, container‑based cluster management and orchestration systems with extreme performance, scalability, and resilience.
• Architect next‑generation cloud‑native GPU and AI accelerator infrastructure to deliver cost‑efficient and secure ML platforms.
• Collaborate across teams to deliver world‑class inference solutions using vLLM, SGLang, TensorRT‑LLM, and other LLM engines.
• Stay current with the latest advances in open source (Kubernetes, Ray, etc.), AI/ML and LLM infrastructure, and systems research; integrate best practices into production systems.
• Write high‑quality, production‑ready code that is maintainable, testable, and scalable.

Skills

Large‑scale inference

Distributed systems

Cloud infrastructure

Docker/Kubernetes

Go/Rust/Python/C++

Education

B.S./M.S. in CS/CE or related fields

Tools

Docker

Kubernetes

Job description

ByteDance in Seattle is seeking a Tech Lead Software Engineer for AI Compute Infrastructure to design and operate large‑scale, GPU‑accelerated inference platforms that power cutting‑edge AI workloads across the company’s data centers. You will lead architecture, tooling, and performance tuning in a fast‑paced environment.

You will collaborate with platform, ML, and product teams to deliver reliable inference systems, drive improvements in scheduling and resource management, and contribute to