Software Engineer (Mid-Level) – AI Systems
Indexed description
Software Engineer (Mid-Level) – AI Systems
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
- 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)
- 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
- Strong problem-solving skills
- Ability to work across abstraction layers
- Interest in hardware-aware software design
- Ownership and proactive mindset
- 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
Send your CV or GitHub profile using the form
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.
Privacy Notice
We process personal data provided during the recruitment process in accordance with applicable data protection laws (including GDPR).
Your data will be used exclusively for recruitment purposes and retained only as long as necessary.
You can request access, correction, or deletion of your data at any time by contacting us via form
Back to Careers Apply now
Careers
Software Engineer (Mid-Level) – AI Systems
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
- 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)
- 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
- Strong problem-solving skills
- Ability to work across abstraction layers
- Interest in hardware-aware software design
- Ownership and proactive mindset
- 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
Send your CV or GitHub profile using the form
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.
Privacy Notice
We process personal data provided during the recruitment process in accordance with applicable data protection laws (including GDPR).
Your data will be used exclusively for recruitment purposes and retained only as long as necessary.
You can request access, correction, or deletion of your data at any time by contacting us via form
Back to Careers Apply now
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