Applied Scientist - AI Operating System (Agentic AI startup)

OverviewWe''re Hiring!Join Our TeamApplied Scientist - AI Operating System (Agentic AI startup) Sydney, NSW, AustraliaLocation: Sydney, NSW, Australia | Employment Type: Full time | Location Type: On-siteWe''re seeking an exceptional AI Operating System Applied Scientist to join our SuperAgent team, reporting directly to the co-founder/Chief Science and Technology Officer.Join us in shaping the future of autonomous AI agents by designing the operating systems that will power the next generation of intelligent software. You''ll be joining a team that values scientific rigor and engineering excellence, with the chance to make significant contributions to an emerging field.About us: NinjaTech AI is a generative AI startup (B2C and B2B) with headquarters in Silicon Valley and offices in Sydney and Vancouver. Our Engineering team is mostly ex-AWS and our Product and UX team is ex-Google. Backed by Alexa Fund and Samsung Ventures, we''re on track to raise Series A funding in 2025.Our flagship product, SuperNinja, is an advanced agentic AI platform with full OS capabilities, performing website creation, end-to-end coding, advanced data analysis, and more.This is a full-time onsite position, based at our Sydney office (great office space, free meals). Our team works in a fast-paced and collaborative work environment. We get a lot done when we ideate together and iterate quickly.Why join NinjaTech AI:This is a unique opportunity for a motivated Applied Scientist to help build the foundation of next-generation AI agent systems. Unlike more commonly available AI/ML roles focused on model development, this position focuses on the critical infrastructure that will enable autonomous agents to operate effectively at scale.What makes you a strong match for this Science position:Research publications in systems for AI, virtualization, file systems, or related areasExperience translating research concepts into production-ready implementationsContributions to open-source AI projects or research communitiesKnowledge of vector databases and embedding techniquesHands-on experience with AWS Firecracker or other microVM implementationsExpertise in designing and implementing fast file systemsExperience with cloud-native security architectures and compliance frameworksBackground in audit logging systems and security monitoring for AI applicationsKnowledge of performance optimization for virtualized environments in cloud settingsExperience with secure multi-tenancy in AI systemsKey challenges you will work on:Just as traditional operating systems manage resources, schedule tasks, and provide interfaces for applications, our AI Operating System will serve as the foundation for autonomous AI agents. We''re creating a system that enables:Virtual Context Management: Allowing AI agents to effectively utilize memory beyond their limited context windowsResource Orchestration: Intelligently managing computational resources, memory, and storage for AI agentsTool Integration: Providing standardized interfaces for agents to interact with external tools and APIsAgent Collaboration: Facilitating communication and coordination between specialized AI agentsPersistent Memory: Enabling agents to maintain and manage long-term memory across sessionsSecure Isolation: Implementing microVM-based isolation for secure and efficient agent executionHigh-Performance Storage: Leveraging optimized file systems for AI workloads and memory managementComprehensive Auditing: Maintaining transparent records of all agent actions and resource usageExperience & Qualifications:1+ years of industry experience (can be before or after PhD)PhD in Computer Science, Artificial Intelligence, or related fieldStrong research background demonstrated through publications or patentsFamiliarity with LLMs and their limitationsProficiency in Python and at least one systems programming language (C++, Rust, Go)Knowledge of memory management techniques and optimizationFamiliarity with AI agent frameworks and architecturesKnowledge of high-performance file systems and storage optimization techniquesUnderstanding of cloud-based virtualization architectures and containerizationBackground in security principles including isolation and access controlsExcellent problem-solving skills and ability to work on complex systemsDay-to-day responsibilities:You will report directly to the Chief Science and Technology Officer/Co-founder and will have ownership in these areas:Advanced Memory Management Systems: Research and develop novel approaches for AI agent memory hierarchies that effectively utilize different storage tiers and context management techniquesMicroVM Isolation Architectures: Investigate state-of-the-art approaches to secure agent execution using Firecracker and other microVM technologies, focusing on performance optimization and security guaranteesHigh-Performance AI File Systems: Research and develop specialized file systems optimized for AI workloads, with particular focus on fast access patterns, efficient vector storage, and memory-mapped approachesCloud-Native Virtualization: Explore novel architectures for deploying AI agents in cloud environments with optimal resource utilization and scaling capabilitiesSecurity and Auditing Frameworks: Develop comprehensive approaches to AI system governance, including transparent logging, monitoring, and compliance verificationMulti-Agent Collaboration Protocols: Design and implement efficient communication mechanisms between isolated agent instancesResource Optimization Algorithms: Create adaptive systems that intelligently allocate computational resources based on agent workloads and prioritiesNinjaTech AI offers competitive salary and excellent benefits:Annual Health insurance subsidySuperannuationPaid Time Off (Vacation, Sick & Holidays) #J-18808-Ljbffr

Created: 2025-11-01