If you’re a recent graduate looking to launch your software engineering career at one of the world’s leading technology companies, ByteDance has an exciting opportunity for you. The company is hiring Software Engineer Graduates in San Jose, California, offering the chance to work on innovative products used by millions of people worldwide. Along with hands-on experience, mentorship from experienced engineers, and exposure to cutting-edge technologies, this role offers an impressive compensation package of up to $316,000 per year for eligible candidates.
Job Overview
| Field | Details |
|---|---|
| Company Name | ByteDance |
| Role | Software Engineer Graduate |
| Qualification | Bachelor’s, Master’s, or Ph.D. in Computer Science, Software Engineering, or a related technical field |
| Job Location | San Jose, California, USA |
| Salary | Up to $316,000 per year (based on role, experience, and location) |
| Work Type | Hybrid / On-site (as specified for the role) |
| Job Type | Full-Time |
| Job Level | Entry Level / Graduate |
| Industry | Technology / Internet / Software Development |
Job Description
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates’ jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
Responsibilities
- Assist in analyzing and supporting enhancements to Hyper-Scale AI Infrastructure platforms, focusing on improving performance, scalability, and resilience for both traditional workloads and large language model (LLM) applications.
- Contribute to performance optimization efforts for Kubernetes-based infrastructure, including monitoring pod lifecycle, tracking resource utilization, and analyzing system behavior under varying load conditions—working closely with senior engineers to identify improvement opportunities.
- Lead small-scale development tasks related to resource management and scheduling in Kubernetes clusters, such as testing configuration updates, automating routine resource allocation workflows, or contributing to tooling for efficiency tracking.
- Engage actively in team discussions on AI infrastructure design and optimization strategies, leveraging academic knowledge and personal projects to propose fresh insights and potential solutions.
- Develop and maintain clear technical documentation, including runbooks, architecture diagrams, and process guides, to strengthen knowledge sharing and operational efficiency across the team.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor’s/ Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Proficiency in at least one major programming language such as Python, Go, C++, Rust, and Java.
- 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
Preferred Qualifications
- Hands-on project experience with container and orchestration technologies such as Docker and Kubernetes through internships, coursework, or personal projects.
- Experience in developing or contributing to cloud-native open-source projects.
Selection Process
- Online application submission
- Resume screening
- Online coding assessment (if applicable)
- Technical interview(s)
- Hiring manager or final interview
- Offer discussion and background verification
How to Apply
- Visit the official ByteDance Careers website.
- Search for Software Engineer Graduate openings in San Jose, California.
- Review the job description and eligibility requirements.
- Prepare your updated resume and any required documents.
- Complete the online application form.
- Submit your application and monitor your email for updates regarding the recruitment process.
