Software Engineer (Mid-Level) - Ai Systems
Pubblicato il 15-08-2026 - Daidalos in San Miniato
Careers
Software Engineer (Mid-Level) – AI Systems
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Engineering Hybrid / Europe / Italy Full-time
Location: Remote (EU preferred) Experience: 2–5 years
About Us
Daidalos is a deep-tech company developing a proprietary AI accelerator IP designed for efficient and deterministic AI execution.
We are working at the intersection of AI, hardware design, and embedded systems, building architectures that go beyond traditional GPU-based approaches.
The role
This role goes beyond traditional software engineering.
You will work on mapping AI models onto custom hardware, optimizing execution, and contributing directly to hardware-software co-design.
We are not looking for someone who simply uses frameworks — we are looking for someone who wants to understand how they work under the hood and improve them.
What you will work on
Optimization and deployment of AI models (PyTorch / ONNX) on custom architectures
Development in C++ / C / Python with strong focus on performance
Hardware-software co-design with FPGA-based systems
Optimization under real-world constraints (memory, latency, throughput)
Contribution to runtime and execution pipelines
Requirements
2–5 years of experience in software engineering
Strong skills in C++ and/or Python
Experience with performance-critical code
Understanding of system-level behavior (memory, compute, latency)
Nice to have
Experience with AI frameworks (PyTorch, ONNX, TensorRT, etc.)
Exposure to embedded systems or hardware acceleration
Experience with profiling and optimization tools
Familiarity with Linux and low-level programming
What we are looking for
Strong problem-solving skills
Ability to work across abstraction layers
Interest in hardware-aware software design
Ownership and proactive mindset
What we offer
Full remote work
High-impact role in a deep-tech startup
Direct involvement in architecture-level decisions
Opportunity to work at the boundary of AI and hardware
Equal Opportunity
Daidalos is committed to equal employment opportunities and to fostering a diverse and inclusive workplace.
All qualified applicants will be considered without regard to gender, gender identity or expression, sexual orientation, race, religion, age, disability, or any other protected status.
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