Cloud-Native Infra Engineer for AI & LLM Workloads

ByteDance

San Jose (CA)

On-site

USD 122,574 - 316,800

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Paid holidays and personal time off

Job summary

ByteDance is seeking software engineers to enhance AI infrastructure in San Jose, California. You'll work closely with leading engineers on Kubernetes, optimizing cloud resources and building next-generation cloud-native technology. This fast-paced role provides unparalleled opportunities for growth, making a significant impact on AI workloads.

We are looking for candidates with a PhD or those completing their degree, proficient in programming and eager to work on complex distributed systems. Join us at ByteDance to help shape the future of computing infrastructure.

Qualifications

  • PhD candidates or recent graduates in Software Development, Computer Science or Computer Engineering.
  • Proficiency in at least one major programming language.
  • Strong knowledge of Unix/Linux environments and distributed systems.

Responsibilities

  • Analyze enhancements to Hyper-Scale AI Infrastructure platforms.
  • Contribute to performance optimization for Kubernetes infrastructures.
  • Engage actively in team discussions regarding AI infrastructure.

Skills

Python
Go
C++
Rust
Java

Education

PhD in Software Development, Computer Science, or related discipline

Tools

Docker
Kubernetes

Job description

ByteDance is seeking software engineers to enhance AI infrastructure in San Jose, California. You'll work closely with leading engineers on Kubernetes, optimizing cloud resources and building next-generation cloud-native technology. This fast-paced role provides unparalleled opportunities for growth, making a significant impact on AI workloads.

We are looking for candidates with a PhD or those completing their degree, proficient in programming and eager to work on complex distributed systems. Join us at ByteDance to help shape the future of computing infrastructure.

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