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ByteDance
Software Engineer Graduate (AI Compute) - 2027 Start (PhD)
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What they do
A Software Developer or Engineer designs or improves computer software. Oversees the entire software development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance. May specialize in the design of computer applications or computer systems.
$153,751 / year median in Washington
-12% projected decline
Job Description
Software Engineer Graduate (AI Compute)
- 2027 Start (PhD)
Location :
Seattle Team :
Technology Employment Type :
Regular Job Code :
A134438 Apply to this job Share this listing: Responsibilities About theTeam:
The Inference Infrastructure team is the creator and open-source maintainer of AIBrix, a Kubernetes-native control plane for large-scale LLM inference. We are part of ByteDance's Core Compute Infrastructure organization, responsible for designing and operating the platforms that power microservices, big data, distributed storage, machine learning training and inference, and edge computing across multi-cloud and global datacenters. With ByteDance's rapidly growing businesses and a global fleet of machines running hundreds of millions of containers daily, we are building the next generation of cloud-native, GPU-optimized orchestration systems. Our mission is to deliver infrastructure that is highly performant, massively scalable, cost-efficient, and easy to use—enabling both internal and external developers to bring AI workloads from research to production at scale. We are expanding our focus on LLM inference infrastructure to support new AI workloads, and are looking for engineers passionate about cloud-native systems, scheduling, and GPU acceleration. You'll work in a hyper-scale environment, collaborate with world-class engineers, contribute to the open-source community, and help shape the future of AI inference infrastructure globally. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.Responsibilities:
- Design and build large-scale, container-based cluster management and orchestration systems with extreme performance, scalability, and resilience.
- Architect next-generation cloud-native GPU and AI accelerator infrastructure to deliver cost-efficient and secure ML platforms.
- Collaborate across teams to deliver world-class inference solutions using vLLM, SGLang, TensorRT-LLM, and other LLM engines.
- Stay current with the latest advances in open source (Kubernetes, Ray, etc.), AI/ML and LLM infrastructure, and systems research; integrate best practices into production systems.
- Write high-quality, production-ready code that is maintainable, testable, and scalable.
Qualifications Minimum Qualifications:
- Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Strong understanding of large model inference, distributed and parallel systems, and/or high-performance networking systems.
- Hands-on experience building cloud or ML infrastructure in areas such as resource management, scheduling, request routing, monitoring, or orchestration.
- Solid knowledge of container and orchestration technologies (Docker, Kubernetes).
- Proficiency in at least one major programming language (Go, Rust, Python, or C++).
Preferred Qualifications:
- Experience contributing to or operating large-scale cluster management systems (e.g., Kubernetes, Ray).
- Experience with workload scheduling, GPU orchestration, scaling, and isolation in production environments.
- Hands-on experience with GPU programming (CUDA) or inference engines (vLLM, SGLang, TensorRT-LLM).
- Familiarity with public cloud providers (AWS, Azure, GCP) and their ML platforms (SageMaker, Azure ML, Vertex AI).
- Strong knowledge of ML systems (Ray, DeepSpeed, PyTorch) and distributed training/inference platforms.
- Excellent communication skills and ability to collaborate across global, cross-functional teams. Passion for system efficiency, performance optimization, and open-source innovation. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $153900
- $300960 annually.
Candidates:
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. About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join ByteDance Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect- and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life
- a mission we work towards every day.
Benefits
- Paid Time Off (PTO)
- Sick Leave
- 401(k) Plans
- Health Insurance