ByteDance

2 days ago

Software Engineer - Compute Infrastructure (Orchestration & Scheduling)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 34 minutes agoStatus: Live

Job Summary

Build and evolve ByteDance’s Kubernetes- and serverless-based compute infrastructure that powers large-scale clusters for AI/LLM workloads worldwide. You’ll enhance hyper-scale cluster management, design unified scheduling for diverse containers and VMs, and develop AI-assisted scheduling to improve performance and resource efficiency across CPU, GPU, memory, network, and power. Contribute high-quality code and open-source capabilities for next-gen ML training and inference platforms.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Enhance Kubernetes-based cluster platforms for performance, scalability, and resilience across ByteDance’s global infrastructure.
•Design and maintain unified scheduling for diverse workloads including containers, VMs, online services, offline computing, and AI/ML CPU/GPU workloads.
•Develop intelligent scheduling using AI models to optimize workload performance and resource utilization across heterogeneous resources and global data centers.
•Design and drive next-gen compute platforms for fast, reliable, and cost-effective ML and LLM training/inference.
•Write high-quality, maintainable code and stay current with open-source and research advancements in AI, ML, systems, and serverless technologies.

Key Requirements

•B.S./M.S. in Computer Science, Computer Engineering, or related field with 2+ years of relevant experience; Ph.D. new graduates with strong publications may be considered.
•Solid understanding of Unix/Linux environments, distributed and parallel systems, high-performance networking, and large-scale software systems.
•Proven experience designing, architecting, and building cloud and ML infrastructure for resource management, allocation, job scheduling, and monitoring.
•Familiarity with container and orchestration technologies such as Docker and Kubernetes.
•Proficiency in at least one major programming language such as Python, Go, C++, Rust, or Java.

Experience:2+ yearsAI/MLLLMCloud infrastructureDistributed systemsKubernetesServerless

Education:Bachelor's in Computer Science or Computer Engineering

Skills:CommunicationTeamwork

Tech Stack:KubernetesDockerServerlessRayPythonGoC++RustJavaUnix/LinuxAWSAzureGCPAWS SageMakerAzure MLGCP Vertex AIYarnMesosKubewharfAiBrix

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

Software Engineer - Compute Infrastructure (Orchestration & Scheduling)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 34 minutes agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Enhance Kubernetes-based cluster platforms for performance, scalability, and resilience across ByteDance’s global infrastructure.
•Design and maintain unified scheduling for diverse workloads including containers, VMs, online services, offline computing, and AI/ML CPU/GPU workloads.
•Develop intelligent scheduling using AI models to optimize workload performance and resource utilization across heterogeneous resources and global data centers.
•Design and drive next-gen compute platforms for fast, reliable, and cost-effective ML and LLM training/inference.
•Write high-quality, maintainable code and stay current with open-source and research advancements in AI, ML, systems, and serverless technologies.

Key Requirements

•B.S./M.S. in Computer Science, Computer Engineering, or related field with 2+ years of relevant experience; Ph.D. new graduates with strong publications may be considered.
•Solid understanding of Unix/Linux environments, distributed and parallel systems, high-performance networking, and large-scale software systems.
•Proven experience designing, architecting, and building cloud and ML infrastructure for resource management, allocation, job scheduling, and monitoring.
•Familiarity with container and orchestration technologies such as Docker and Kubernetes.
•Proficiency in at least one major programming language such as Python, Go, C++, Rust, or Java.

Experience:2+ yearsAI/MLLLMCloud infrastructureDistributed systemsKubernetesServerless

Education:Bachelor's in Computer Science or Computer Engineering

Skills:CommunicationTeamwork

Tech Stack:KubernetesDockerServerlessRayPythonGoC++RustJavaUnix/LinuxAWSAzureGCPAWS SageMakerAzure MLGCP Vertex AIYarnMesosKubewharfAiBrix

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