Senior Software Engineer - Compute Infrastructure (Orchestration & Scheduling)

ByteDance; San Jose (CA); On-site; USD 156,000 - 387,600; Full time

Benefits offered by this job

Medical insurance

401(k) plan with company match

Parental leave

Disability insurance

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

Paid Personal Time

Job summary

ByteDance in San Jose seeks a Senior Software Engineer for Compute Infrastructure (Orchestration & Scheduling). You will scale and enhance Kubernetes-based systems, designing a unified scheduler for diverse workloads across global data centers.

You will also build AI-driven scheduling to optimize CPU/GPU, memory and power usage, and drive next-gen ML compute platforms for fast, reliable ML/LLM training and inference.

Qualifications

• BS/MS in Computer Science, Computer Engineering or related field with 3+ years of experience; PhD with strong publications may qualify
• Solid understanding of Unix/Linux environments, distributed and parallel systems, or high-performance networking

Responsibilities

• Engineer hyper-scale cluster management to improve Kubernetes-based platforms
• Innovate on core scheduling for containers, VMs, AI/ML workloads
• Develop an intelligent scheduling system using AI to optimize performance and resource use
• Lead infrastructure for next-gen ML workloads, ML training/inference
• Deliver high-quality, maintainable code and stay current with open-source and research advancements

Skills

Python

Go

C++

Rust

Java

Unix/Linux

Kubernetes

Docker

Education

Bachelor's or Master’s in CS/CE

Tools

Docker

Kubernetes

Job description

Senior Software Engineer - Compute Infrastructure (Orchestration & Scheduling)

Location: San Jose

Team: Infrastructure

Employment Type: Regular

Job Code: A228603

Responsibilities

• Engineer hyper-scale cluster management: Enhance Kubernetes-based cluster platforms to deliver exceptional performance, scalability, and resilience—powering resource management across ByteDance’s massive global infrastructure.
• Innovate on core scheduling capabilities: Design and maintain a truly unified scheduling that powers diverse workloads (Containers & VMs, online services, offline computing, AI/ML, CPU/GPU workloads, etc) in a massive-scale resource pool.
• Develop an intelligent scheduling system: Leverage AI models to optimize workload performance and resource utilization across heterogeneous resources—including CPU, GPU, memory, network, and power across global data centers.
• Lead Infrastructure for Next-Gen ML Workloads: Design and drive the evolution of compute platforms purpose-built for fast, reliable, and cost-effective ML and LLM training/inference.
• Deliver Quality and Innovation: Write high-quality, maintainable code, and stay at the forefront of open-source and research advancements in AI, ML, systems, and Serverless technologies.

Qualifications

• Minimum Qualifications
  • B.S./M.S, degree in Computer Science, Computer Engineering or a related area with 3+ years of relevant industry experience; new graduates with Ph.D. degree and strong publication records can be an exception.
  • Solid understanding of at least one of the following fields: Unix/Linux environments, distributed and parallel systems, high-performance networking systems, developing large scale software systems.
  • Proven experience designing, architecting and building cloud and ML infrastructure related but not limited to 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, and Java.
• Preferred Qualifications
  • Experience in one large scale cluster management systems, e.g., Kubernetes, Ray, Yarn, or Mesos.
  • Experience in large scale resource efficiency management and job scheduling development.
  • Project experience in application scaling, workload co-location, and isolation enhancement.
  • Experience with a public cloud provider (AWS, Azure and GCP), and their ML services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
  • Great communication skills and the ability to work well within a team and across engineering teams.
  • Passionate about system efficiency, quality, performance and scalability.

Job Information

The base salary range for this position in the selected city is $156000 - $387600 annually.

Benefits

Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

EEO Statement (Los Angeles County)

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request