[Remote] Software Engineer Intern (Inference Infrastructure) - 2026 Summer (MS/BS)

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. ByteDance is a rapidly growing tech company focused on inspiring creativity and enriching life through innovative products. They are seeking a Software Engineer Intern for the Inference Infrastructure team to design and build large-scale, container-based cluster management systems and collaborate on AI inference solutions. This internship offers students hands-on experience and exposure to real-world scenarios in a hyper-scale environment. 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 Skills B.S./M.S. in Computer Science, Computer Engineering, or related fields with 2+ years of relevant experience Able to commit to working for 12 weeks during Summer 2026 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++) 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 Benefits Day one access to health insurance Life insurance Wellbeing benefits 10 paid holidays per year Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year) Housing allowance Company Overview ByteDance is a technology company that develops content creation platforms and services. It was founded in 2012, and is headquartered in Beijing, Beijing, CHN, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship ByteDance has a track record of offering H1B sponsorships, with 1350 in 2025, 1123 in 2024, 775 in 2023, 487 in 2022, 417 in 2021, 245 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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