AI Applied Engineering Intern
Core
Optimizing AI inference workflows and model performance for edge devices within HP's Agentic AI ecosystem.
Role type
AI Applied Engineering Intern
Builds
Optimized AI inference layers for resource-constrained edge hardware
Domain
Artificial Intelligence / Edge Computing / Hardware Optimization
Deliverable
production ML models
Required skills
Artificial intelligence and machine learning, Coding and software development, AI inference and performance optimization, Software and systems engineering, Technical design and prototyping, Testing, debugging, and performance analysis, Agentic AI and edge-computing concepts, AI development tools (Codex, Copilot, Claude)
Responsibilities
Optimize AI inference workflows for edge-device environments, Analyze latency, memory usage, computational efficiency, and model performance, Identify bottlenecks within agentic AI architectures, Develop and test software prototypes and optimization approaches, Support the integration of AI models and agents with edge hardware, Document findings, technical designs, and performance recommendations
