Location: Remote (EU - Italy) Experience: 0–2 years
About Us
Daidalos is a deep-tech startup developing a proprietary AI accelerator IP for next-generation embedded and edge systems.
We are building a new hardware architecture for AI execution, focused on energy efficiency and real-world deployment.
The role
This is not “just software”.
You will work on bringing AI models onto completely new hardware architectures, contributing to a system where software and hardware are tightly interconnected.
We are looking for someone at the beginning of their career who is curious, motivated, and willing to go below standard abstraction layers.
What you will work on
Optimization and mapping of AI models (PyTorch / ONNX) onto custom architectures
Development in C++ / C / Python with attention to performance
Interaction with FPGA-based systems
Understanding constraints such as memory, latency, and throughput
Supporting hardware-software co-design activities
Requirements
Basic knowledge of C++ or Python
Understanding of fundamental computer architecture concepts
Interest in performance optimization and low-level systems
Willingness to learn and work in a fast-paced environment
Nice to have
Experience with PyTorch, ONNX, or similar frameworks
Exposure to embedded systems or FPGA environments
Familiarity with Linux-based development
What we are looking for
Strong curiosity and learning mindset
Interest in going beyond high-level frameworks
Ability to work in an evolving environment
Ownership and motivation
What we offer
Full remote work
Fast learning curve and exposure to real-world systems
Direct collaboration with hardware and AI teams
Opportunity to grow into a highly specialized role
Apply
Send your CV or GitHub profile via form
Equal Opportunity
Daidalos is an equal opportunity employer. We are committed to creating an inclusive environment for all candidates and
📌 Software Engineer (Milano)
🏢 Daidalos
📍 Milano
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