Embedded Software Engineer with Deep Learning experience, Lund
Core
Developing and optimizing deep learning runtime APIs, services, and edge device inference capabilities for Axis video products.
Role type
Senior Embedded Software Engineer (Deep Learning Platform)
Builds
Deep Learning Runtime API, edge DL inference solutions, and hardware-accelerated components for security and surveillance products.
Domain
Security and surveillance / Edge AI / Embedded Systems
Deliverable
production ML models
Required skills
C/C++ development, embedded systems programming, Linux C APIs, deep learning IP integration, hardware optimization, driver development, debugging, Git/Gerrit/Jenkins
Preferred skills
Edge DL platforms experience, DL frameworks knowledge
Technologies
C, C++, Linux, Git, Gerrit, Jenkins
Responsibilities
Evaluate and integrate deep learning IPs and accelerators, optimize code for performance and memory usage, develop Deep Learning Runtime API and services, collaborate with internal teams and external partners.
Seniority
Mid-Senior, hands-on IC
