Senior Agentic AI Systems Engineer – Runtime Frameworks & Resource Intelligence

📋 Description

• Analyze agentic AI frameworks and runtime architectures for deployment across PC and edge computing
• Tailor and integrate agentic frameworks to operate effectively under changing resource and system
• Evaluate how multiple concurrent agents, AI models, and applications use and compete for compute
• Develop policies for workload admission, prioritization, scheduling, orchestration, throttling
• Create capabilities that maintain application and system responsiveness while multiple agentic
• Develop graceful-degradation strategies for memory pressure, compute contention, low battery

🎯 Requirements

• Four-year or graduate degree in Computer Science, Software Engineering, Computer Engineering
• 8+ years of experience in systems software, AI infrastructure, runtime engineering, performance
• Demonstrated experience evaluating, integrating, or adapting AI frameworks, runtime systems
• Experience developing performance-sensitive software for client, edge, embedded, or other
• Experience analyzing system-level performance, scalability, reliability, and resource-contention
• Proven ability to diagnose issues involving complex interactions across applications, operating

🎁 Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account