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
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
Network video, security, surveillance, embedded systems, deep learning inference
Deliverable
production ML models | product features
Required skills
C/C++ development, embedded systems programming, Linux C APIs, deep learning IP integration, hardware optimization, driver development, debugging, Git, Gerrit, Jenkins
Responsibilities
Evaluate and integrate deep learning IPs and accelerators, develop and optimize Deep Learning Runtime API and services, optimize code for performance and memory usage on edge devices, collaborate with internal teams and external partners on platform development.
Seniority
Mid-level, hands-on IC
