Software Engineer Graduate (AI Infrastructure — Compute Efficiency & Scheduling) - 2027 Start

ByteDance; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Savings Plan With Company Match

Paid Parental Leave

Short-term Disability Coverage

Long-term Disability Coverage

Life Insurance

Wellbeing Benefits

Paid Holidays

Paid Sick Days

Paid Personal Time

Job summary

ByteDance in San Jose is building and optimizing intelligent, AI-driven scheduling platforms to improve the efficiency of global compute clusters. You will focus on reducing costs and increasing performance for AI/LLM training and inference workloads at scale, leveraging expertise in distributed systems and modern programming languages.

The role requires strong proficiency in languages like Go, C++, Rust, Python, or Java, and a solid foundation in operating systems, distributed systems, or

Qualifications

• Bachelor's or Master's degree in Computer Science or a related technical field.
• Proficiency in at least one major programming language.
• Solid foundation in distributed systems, operating systems, or computer architecture.

Responsibilities

• Develop and optimize intelligent, AI-driven scheduling platforms for global compute clusters.
• Focus on reducing costs and increasing performance for AI/LLM training and inference workloads at scale.

Skills

Go

C++

Rust

Python

Java

Operating Systems

Distributed Systems

Computer Architecture

Networking

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Kubernetes

Containers

Cloud Infrastructure

AI Infrastructure

Scheduling Platforms

Open Source Contribution

Job description

Develop and optimize intelligent, AI-driven scheduling platforms to improve the efficiency of global compute clusters. Focus on reducing costs and increasing performance for AI/LLM training and inference workloads at scale.

Requirements

Requires a Bachelor's or Master's degree in Computer Science or a related technical field and proficiency in at least one major programming language. A solid foundation in distributed systems, operating systems, or computer architecture is essential.

Key Skills

Go, C++, Rust, Python, Java, Operating Systems, Distributed Systems, Computer Architecture, Networking, Kubernetes, Containers, Cloud Infrastructure, AI Infrastructure, Scheduling Platforms, Software Development, Open Source Contribution

Benefits

Medical Insurance, Dental Insurance, Vision Insurance, 401(k) Savings Plan With Company Match, Paid Parental Leave, Short-term Disability Coverage, Long-term Disability Coverage, Life Insurance, Wellbeing Benefits, Paid Holidays, Paid Sick Days, Paid Personal Time