Responsibilitie
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.
Qualification
Minimum Qualifications - B.S./M.S. in Computer Science, Computer Engineering, or related fields with 3+ years of relevant experience (Ph.D. with strong systems/ML publications also considered). - 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 $207480 - $368220 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
