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Senior C++ Engineer for Edge AI Inference Optimization

Poland
Full Remote
This Job is No Longer Active This position is no longer accepting applications

Develop and optimize C++ inference engines for on-device AI, porting and enhancing frameworks like llama.cpp to run efficiently on edge hardware. Collaborate with researchers to transition models from research to production and integrate AI features into existing products. Requires strong C++ skills, deep learning knowledge, and experience with transformer models.

Key Highlights
C++ layer development for local AI inference engines
Optimization for edge devices without cloud dependency
Collaboration with researchers on model deployment
Experience with llama.cpp and ggml frameworks
Key Responsibilities
Work on deploying machine learning models to edge devices using frameworks like llama.cpp and ggml
Port and enhance inference engines to run efficiently on edge devices
Ensure inference layer is stable, optimized, and ready for integration with the rest of the stack
Collaborate closely with researchers to assist in coding, training, and transitioning models from research to production
Integrate AI features into existing products
Technical Skills Required
C++ Deep learning Transformer models Llama.cpp
Benefits & Perks
Remote flexibility
Competitive salary
Medical benefits
Learning investment
Nice to Have
Experience with Javascript

Job Description

ITRex - AI pioneers who build systems that actually work in the real world, not just in demos. We're 250+ people spread across the US and Europe, creating solutions for companies like Procter & Gamble and Shutterstock. We keep it simple, build it right, and focus on what works.We're the kind of people who don't ignore messages in Slack, who jump in to help when you're stuck on a problem, and who offer solutions instead of blame when things go sideways. We believe in openness, accountability, and having each other's backs. No office politics, no hidden agendas - just people who care about doing good work together and supporting each other to get there.
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