ByteDance

2 days ago

Senior 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: 1 hour agoStatus: Live

Job Summary

Build and optimize ByteDance’s compute infrastructure for demanding AI/LLM workloads. You’ll enhance Kubernetes-based cluster management, design unified scheduling for heterogeneous resources, and develop intelligent, AI-driven scheduling to improve performance and cost efficiency across global data centers. Work on next-gen ML compute platforms for fast, reliable training and inference, while writing maintainable code and contributing to open-source and research innovations in systems and serverless technologies.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Enhance Kubernetes-based cluster platforms to deliver performance, scalability, and resilience for global resource management.
•Design and maintain unified scheduling for diverse workloads (containers/VMs, online/offline computing, AI/ML, CPU/GPU workloads).
•Develop intelligent scheduling using AI models to optimize workload performance and resource utilization across heterogeneous resources.
•Design and drive evolution of 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

•BS/MS in Computer Science/Computer Engineering (or related) with 3+ years of relevant industry experience; PhD with strong publication records may be an exception.
•Solid understanding of Unix/Linux, distributed/parallel systems, high-performance networking, or 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:3+ yearsAI/MLLLMCloud infrastructureDistributed systems

Education:Bachelor's in Computer Science or Computer Engineering (or related)

Skills:CommunicationTeamworkSystem efficiency focus

Tech Stack:KubernetesServerlessRayDockerUnix/LinuxPythonGoC++RustJavaAWSAzureGCPAWS SageMakerAzure MLGCP Vertex AIAiBrixKubewharfLLMAI/ML

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

Senior 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: 1 hour agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Enhance Kubernetes-based cluster platforms to deliver performance, scalability, and resilience for global resource management.
•Design and maintain unified scheduling for diverse workloads (containers/VMs, online/offline computing, AI/ML, CPU/GPU workloads).
•Develop intelligent scheduling using AI models to optimize workload performance and resource utilization across heterogeneous resources.
•Design and drive evolution of 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

•BS/MS in Computer Science/Computer Engineering (or related) with 3+ years of relevant industry experience; PhD with strong publication records may be an exception.
•Solid understanding of Unix/Linux, distributed/parallel systems, high-performance networking, or 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:3+ yearsAI/MLLLMCloud infrastructureDistributed systems

Education:Bachelor's in Computer Science or Computer Engineering (or related)

Skills:CommunicationTeamworkSystem efficiency focus

Tech Stack:KubernetesServerlessRayDockerUnix/LinuxPythonGoC++RustJavaAWSAzureGCPAWS SageMakerAzure MLGCP Vertex AIAiBrixKubewharfLLMAI/ML

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