
Alluxio
Foster City, CA
High-performance distributed caching for AI workloads
About
Alluxio builds a distributed caching layer between compute frameworks and storage systems like S3, GCS, HDFS. It serves AI/ML and analytics teams by accelerating data access for training, inference, and queries. This reduces I/O latency and costs without data migration or code changes.
Tech stack
Java, C++, Go, Kubernetes, Spark, S3
Perks & benefits
Equity, Health insurance
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9Provides technical leadership for quality engineering by building automated end-to-end and performance testing frameworks for distributed systems. The role requires extensive software development experience, quality engineering leadership, and proficiency with Go, Python, or Java, plus Linux, CI/CD, and cloud familiarity.
负责与客户技术团队沟通需求,设计并展示基于 Alluxio 的解决方案并完成 POC,同时支持售前市场拓展和客户反馈闭环。要求具备 7 年以上 AI/ML 开发或解决方案架构经验,并熟悉 Java、Python 及相关大数据、AI/ML 或云原生技术。
负责在中国市场开发和维护大型企业客户,制定销售策略、拓展战略机会并推动收入增长。候选人需具备至少 5 年企业级软件销售经验,熟悉 AI、机器学习、大数据或基础设施软件,并能与高层客户进行价值沟通。
Leads architecture and development of Alluxio’s large-scale distributed data services, focusing on scalability, durability, high availability, concurrency, and caching. Requires a bachelor's degree or equivalent experience, strong programming skills in Java, C/C++, or Go, and distributed-systems expertise.
Defines and executes AI systems strategy for Alluxio's data platform, focusing on inference, training, and agentic workloads. Collaborates with engineering and AI teams to optimize latency, throughput, and integrations with frameworks like PyTorch and Ray. Requires 5-9 years in AI infrastructure or ML platforms.
Senior Software Engineer designs and optimizes distributed systems for Alluxio's data orchestration platform, focusing on caching, metadata management, I/O performance, and fault-tolerance in multi-cloud environments. Requires strong experience in Java/C++/Go and distributed storage technologies like Spark, Hadoop, and Kubernetes.
Staff Software Engineer designs and implements core components of Alluxio's distributed data orchestration platform, optimizing caching, metadata, and I/O for large-scale AI/ML workloads across multi-cloud environments. Requires strong distributed systems expertise in Java/C++/Go and technical leadership.
Leads architecture, technical strategy, and hands-on development for Alluxio’s large-scale distributed data platform. Requires deep distributed-systems expertise, production architecture experience, and proficiency in Java, C++, or Go.
Develop and scale Alluxio’s distributed data services, focusing on storage, concurrency, caching, durability, and high availability. The role requires a bachelor’s degree or equivalent experience, proficiency in a general-purpose language, and experience with distributed or large-scale systems.