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 evolve ByteDance’s compute infrastructure for AI/LLM workloads by enhancing Kubernetes-based cluster management and designing unified scheduling for diverse containers, VMs, and offline jobs. Develop intelligent, AI-driven scheduling to optimize heterogeneous resources across global data centers. Lead next-gen ML training/inference platform improvements, write maintainable infrastructure code, and contribute to open-source initiatives across Kubernetes and serverless ecosystems.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Enhance Kubernetes-based cluster platforms for hyper-scale management, improving performance, scalability, and resilience across ByteDance’s global infrastructure.
•Design and maintain unified scheduling to support diverse workloads (containers, VMs, online services, offline computing, AI/ML, CPU/GPU workloads) in a massive-scale resource pool.
•Build intelligent scheduling systems using AI models to optimize workload performance and resource utilization across heterogeneous resources and global data centers.
•Lead the evolution of compute platforms purpose-built 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 3+ years of relevant industry experience (Ph.D. with strong publication records may be an exception).
•Solid understanding of Unix/Linux, distributed and parallel systems, high-performance networking, and large-scale software systems.
•Proven experience designing and building cloud and ML infrastructure, including 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: Python, Go, C++, Rust, or Java.

Experience:AI/LLMCloud infrastructureDistributed systemsContainer orchestrationServerlessResource efficiencyJob scheduling

Education:Master's in Computer Science, Computer Engineering, or related area

Skills:CommunicationTeam collaborationSystem efficiency focusQuality focusPerformance and scalability focus

Tech Stack:KubernetesServerlessRayKubewharfAiBrixDockerUnix/LinuxPythonGoC++RustJavaAWSAzureGCPAWS SageMakerAzure MLGCP Vertex AIYarnMesos

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

Loading job details...

Preparing the role view and application actions.

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: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Enhance Kubernetes-based cluster platforms for hyper-scale management, improving performance, scalability, and resilience across ByteDance’s global infrastructure.
•Design and maintain unified scheduling to support diverse workloads (containers, VMs, online services, offline computing, AI/ML, CPU/GPU workloads) in a massive-scale resource pool.
•Build intelligent scheduling systems using AI models to optimize workload performance and resource utilization across heterogeneous resources and global data centers.
•Lead the evolution of compute platforms purpose-built 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 3+ years of relevant industry experience (Ph.D. with strong publication records may be an exception).
•Solid understanding of Unix/Linux, distributed and parallel systems, high-performance networking, and large-scale software systems.
•Proven experience designing and building cloud and ML infrastructure, including 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: Python, Go, C++, Rust, or Java.

Experience:AI/LLMCloud infrastructureDistributed systemsContainer orchestrationServerlessResource efficiencyJob scheduling

Education:Master's in Computer Science, Computer Engineering, or related area

Skills:CommunicationTeam collaborationSystem efficiency focusQuality focusPerformance and scalability focus

Tech Stack:KubernetesServerlessRayKubewharfAiBrixDockerUnix/LinuxPythonGoC++RustJavaAWSAzureGCPAWS SageMakerAzure MLGCP Vertex AIYarnMesos

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