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- Tasks: Design and optimise hardware architecture for cutting-edge AI platforms.
- Company: Join Axelera AI, a pioneering deep-tech startup revolutionising AI technology.
- Benefits: Enjoy competitive pay, relocation support, and a vibrant, inclusive culture.
- Why this job: Be part of a dynamic team shaping the future of AI with innovative projects.
- Qualifications: Master's or Ph.D. in Computer Science or Electrical Engineering; strong programming skills required.
- Other info: Remote work options available; join a diverse team from 11 countries.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Senior R&D Engineer – System Architecture (Italy based)
Join to apply for the Senior R&D Engineer – System Architecture (Italy based) role at Axelera AI
About Us: Axelera AI is not your regular deep-tech startup. We are creating the next‑generation AI platform to support anyone who wants to help advancing humanity and improve the world around us.
In just four years, we have raised a total of $120 million and have built a world‑class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), remotely from 17 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands.
We have also launched our Metis™ AI Platform, which achieves a 3‑5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million.
Our unwavering commitment to innovation has firmly established us as a global industry pioneer.
Are you up for the challenge?
Position Overview
Within the R&D System Architecture team, we are seeking a highly skilled Hardware Architect focused on memory design, intra‑ and inter‑chip networking and interconnect technology, system‑integration, performance tuning and hardware‑software interactions, with a particular focus on memory management, dataflow and networking infrastructure such as remote‑DMA over Ethernet, Infiniband or similar technologies. The ideal candidate has a strong corporate or academic background in hardware and system architecture. Your primary role will be to design, architect, and optimize the hardware architecture that underpins Axelera’s cutting‑edge AI acceleration platforms.
Responsibilities
- Contribute to the Design, Architecture and implementation of Axelera’s next‑gen AI Accelerators, focusing on memory and inter‑ and intra‑chip network architectures.
- Build architectural models, validate their performance across a range of AI workloads and research and define optimal configurations.
- Build advanced hardware prototypes.
- Create detailed architectural specifications.
- Define and perform rigorous performance evaluation tests for architectural and behavioural verification.
- Collaborate closely with cross‑functional teams including software engineers, digital designers, ML scientists, and product managers to align on project goals and requirements.
- Communicate complex technical concepts effectively to both technical and non‑technical stakeholders within the organization.
- Contribute actively to the team\’s knowledge base through documentation, sharing best practices, and participating in technical discussions.
- Collaborate with academia or industry partners on joint research projects to explore new possibilities in AI technology.
- Contribute to Axelera\’s intellectual property through patent filings, whitepapers, blog posts, or publications in relevant conferences or journals.
Requirements
- Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or related fields with a focus on circuit design, and computer architecture or high‑performance computing.
- Basic working knowledge of Neural Networks, specifically Convolutional or transformer Neural Networks for Computer vision and Sequence Modelling.
- Experience in software development.
- Experience in hardware development.
- Strong programming skills in Python.
- Excellent communication skills with the ability to collaborate effectively in a team environment.
- Preferred: Experience or knowledge of networking protocols such as RoCE or Infiniband, networking technologies, (Remote) direct‑memory access.
- Preferred: Basic knowledge of common computer architectures (CPU, GPU, AI accelerators) and SoC architecture.
- Preferred: proven track record of innovative contributions to AI/ML projects or research initiatives / publications or patents in the field of neural networks, system architecture, or related areas.
Location
This position is based Italy & we support relocation to Bologna, Florence or Milan for talent based abroad and interested in this role.
What We Offer
This is your chance to shape and be part of a dynamic, fast‑growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.
An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.
At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.
Seniority level
- Mid‑Senior level
Employment type
- Full‑time
Job function
- Engineering and Information Technology
Industries
- Semiconductor Manufacturing
Referrals increase your chances of interviewing at Axelera AI by 2x.
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Senior R&D Engineer - System Architecture (Italy based) employer: Axelera AI
Contact Detail:
Axelera AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior R&D Engineer - System Architecture (Italy based)
✨Tip Number 1
Familiarise yourself with Axelera AI's Metis AI Platform and its capabilities. Understanding how their technology works will allow you to speak confidently about how your skills can contribute to their projects during interviews.
✨Tip Number 2
Network with current employees or alumni from your university who work in similar roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach when applying.
✨Tip Number 3
Stay updated on the latest trends in hardware architecture and AI technologies. Being knowledgeable about recent advancements will not only impress your interviewers but also demonstrate your passion for the field.
✨Tip Number 4
Prepare to discuss your previous projects in detail, especially those related to memory design and networking technologies. Highlighting your hands-on experience will showcase your practical skills and problem-solving abilities.
We think you need these skills to ace Senior R&D Engineer - System Architecture (Italy based)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in hardware architecture, memory design, and networking technologies. Use specific examples from your past work or projects that align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI technology and how your background makes you a perfect fit for Axelera AI. Mention any innovative contributions you've made in previous roles, especially those related to AI/ML projects.
Showcase Technical Skills: Clearly list your programming skills, particularly in Python, and any experience with neural networks or hardware development. If you have knowledge of networking protocols or computer architectures, make sure to include that as well.
Prepare for Technical Questions: Anticipate technical questions related to system architecture and performance evaluation tests. Be ready to discuss your approach to designing and optimising hardware architecture, as well as your experience collaborating with cross-functional teams.
How to prepare for a job interview at Axelera AI
✨Showcase Your Technical Expertise
As a Senior R&D Engineer, it's crucial to demonstrate your deep understanding of hardware architecture and memory design. Be prepared to discuss specific projects where you've successfully implemented complex systems or optimised performance, highlighting your technical skills and knowledge.
✨Prepare for Technical Questions
Expect in-depth technical questions related to system architecture, networking protocols, and AI technologies. Brush up on your knowledge of Convolutional Neural Networks and direct-memory access techniques, as these are likely to come up during the interview.
✨Communicate Clearly
You'll need to explain complex concepts to both technical and non-technical stakeholders. Practice articulating your ideas clearly and concisely, using examples from your past experiences to illustrate your points effectively.
✨Demonstrate Collaborative Spirit
Axelera AI values teamwork and collaboration. Be ready to share examples of how you've worked with cross-functional teams in the past, and express your enthusiasm for contributing to a collaborative environment that fosters innovation.
