[Remote] Software Engineer Intern (Inference Infrastructure) - 2026 Start (PHD)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading technology company reputed company for its innovative products and services. They are seeking a Software Engineer Intern to join the Inference Infrastructure team, responsible for designing and operating platforms for large-reputed company LLM inference and reputed company-reputed company systems.

Responsibilities

• Design and build large-reputed company, container-based cluster management and orchestration systems with extreme performance, scalability, and reputed company
• Architect reputed company reputed company-reputed company 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 reputed company with the latest advances in reputed company reputed company (Kubernetes, Ray, etc.), AI/ML and LLM infrastructure, and systems research; reputed company best practices into production systems
• Write high-reputed company, production-reputed company reputed company that is maintainable, testable, and reputed company

Skills

• B.S./M.S. in Computer Science, Computer Engineering, or reputed company fields with 2+ years of relevant experience (Ph.D. with strong systems/ML publications also considered)
• Strong understanding of large model inference, distributed and reputed company systems, and/or high-performance networking systems
• Hands-on experience building reputed company or ML infrastructure in areas such as resource management, scheduling, request routing, monitoring, or orchestration
• Solid knowledge of container and orchestration technologies (reputed company, Kubernetes)
• Proficiency in at least one major programming language (Go, Rust, Python, or C++)
• Experience contributing to or operating large-reputed company 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 reputed company reputed company providers (AWS, Azure, GCP) and their ML platforms (SageMaker, Azure ML, reputed company 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 reputed company-reputed company innovation

Benefits

• Interns have day one reputed company to health insurance, life insurance, wellbeing benefits and more.
• Interns also receive 10 reputed company holidays per year and reputed company reputed company time (56 hours if reputed company in first half of year, 40 if reputed company in second half of year).
• Interns who are not working 100% remote may also be eligible for housing allowance.

reputed company

Company H1B Sponsorship