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: 35 minutes agoStatus: Live

Job Summary

Build and scale ByteDance’s compute infrastructure for AI/LLM workloads by enhancing Kubernetes-based cluster platforms and delivering resilient hyper-scale scheduling. Design unified scheduling for diverse container/VM and online/offline workloads, and develop intelligent, AI-driven systems to optimize heterogeneous resources across global data centers. Contribute to next-gen ML training and inference compute platforms while writing high-quality, maintainable code and advancing open-source infrastructure technologies.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Enhance Kubernetes-based cluster platforms for performance, scalability, and resilience, enabling resource management across ByteDance’s global infrastructure.
•Design and maintain unified scheduling for diverse workloads including containers and VMs, online services, offline computing, and AI/ML CPU/GPU workloads.
•Develop an intelligent scheduling system using AI models to optimize workload performance and resource utilization across heterogeneous resources.
•Design and drive next-gen 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

•BS/MS in Computer Science, Computer Engineering, or related field with 2+ years of relevant industry experience (PhD with strong publications may be an exception).
•Solid understanding of Unix/Linux environments, distributed/parallel systems, high-performance networking, and large-scale software systems.
•Proven experience designing 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+ yearsAILLMsCloudMLDistributed systemsContainersOrchestrationData centers

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

Skills:CommunicationTeamworkSystem efficiencyQualityPerformanceScalability

Tech Stack:KubernetesServerlessRayKubewharfAiBrixDockerUnixLinuxPythonGoC++RustJavaAWSAzureGCPAWS SageMakerAzure MLGCP Vertex AICPU

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: 35 minutes agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Enhance Kubernetes-based cluster platforms for performance, scalability, and resilience, enabling resource management across ByteDance’s global infrastructure.
•Design and maintain unified scheduling for diverse workloads including containers and VMs, online services, offline computing, and AI/ML CPU/GPU workloads.
•Develop an intelligent scheduling system using AI models to optimize workload performance and resource utilization across heterogeneous resources.
•Design and drive next-gen 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

•BS/MS in Computer Science, Computer Engineering, or related field with 2+ years of relevant industry experience (PhD with strong publications may be an exception).
•Solid understanding of Unix/Linux environments, distributed/parallel systems, high-performance networking, and large-scale software systems.
•Proven experience designing 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+ yearsAILLMsCloudMLDistributed systemsContainersOrchestrationData centers

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

Skills:CommunicationTeamworkSystem efficiencyQualityPerformanceScalability

Tech Stack:KubernetesServerlessRayKubewharfAiBrixDockerUnixLinuxPythonGoC++RustJavaAWSAzureGCPAWS SageMakerAzure MLGCP Vertex AICPU

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