What are the responsibilities and job description for the Senior R&D Engineer - RISC-V Matrix Extensions (Italy/Europe based) position 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 three years, we have raised a total of $120 million and have built a world-class team of 180 employees (including 55 PhDs with more than 40,000 citations), both remotely from 11 different countries and with offices in Belgium, 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
We are seeking an experienced R&D Engineer specializing in systolic multiplier architectures for AI training applications. The ideal candidate will have deep expertise in the design, analysis, and modeling of systolic arrays, with a strong understanding of the trade-offs involved. Knowledge of integrating such architectures into instruction set architectures (ISA) such as RISC-V, ARM (SME), or x86 (AMX) is highly advantageous. This role involves conducting independent analyses of architectural proposals and developing innovative improvements or implementations to meet evolving AI training needs.
Key responsibilities:
We offer a flexible working arrangement, with options to:
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.
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 three years, we have raised a total of $120 million and have built a world-class team of 180 employees (including 55 PhDs with more than 40,000 citations), both remotely from 11 different countries and with offices in Belgium, 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
We are seeking an experienced R&D Engineer specializing in systolic multiplier architectures for AI training applications. The ideal candidate will have deep expertise in the design, analysis, and modeling of systolic arrays, with a strong understanding of the trade-offs involved. Knowledge of integrating such architectures into instruction set architectures (ISA) such as RISC-V, ARM (SME), or x86 (AMX) is highly advantageous. This role involves conducting independent analyses of architectural proposals and developing innovative improvements or implementations to meet evolving AI training needs.
Key responsibilities:
- Design and Analysis of Systolic Architectures
- Conduct research and development on systolic multiplier arrays tailored for AI training workloads.
- Evaluate known architectural trade-offs, including power, performance, and area (PPA), to optimize design for training applications.
- Perform modeling and simulation of systolic arrays to predict performance and suitability for various AI training scenarios.
- ISA Integration and Optimization
- Explore and implement integration strategies for systolic multiplier architectures into ISAs, such as RISC-V, ARM (SME), or x86 (AMX).
- Assess the impact of ISA-level extensions on performance, compatibility, and ease of programming for AI workloads.
- Collaborate with ISA architects to ensure seamless integration and utilization of systolic arrays.
- Independent Analysis and Innovation
- Critically assess architectural proposals for systolic arrays and their suitability for specific AI training applications.
- Propose and develop novel improvements or custom implementations to address gaps or enhance existing designs.
- Validate architectural proposals and improvements through rigorous benchmarking and testing.
- Research and Collaboration
- Stay abreast of advancements in AI hardware and systolic architectures, leveraging this knowledge to inform design decisions.
- Collaborate with hardware and software teams to align systolic architectures with broader system-level goals.
- Contribute to technical publications, patents, and internal knowledge sharing.
- Master's or PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field, with a focus on AI hardware or systolic architectures.
- Expertise in designing, analyzing, and modeling systolic multiplier arrays for AI training, with an understanding of power, performance, and area (PPA) trade-offs.
- Experience integrating systolic architectures into ISAs like RISC-V, ARM (SME), or x86 (AMX), and evaluating ISA-level extension impacts on performance and compatibility.
- Skilled in modeling, simulating, and validating systolic arrays for AI workloads, and proposing improvements based on performance benchmarks.
- Strong collaboration with hardware and software teams to align architectures with system-level goals and contribute to research publications and patents.
- Ability to work independently on architectural proposals, driving innovation and custom implementations for AI training applications.
- Willing to work from one of our European offices or remotely, with preference for candidates open to relocating to Italy.
- Proficiency in English, both spoken and written.
We offer a flexible working arrangement, with options to:
- Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity.
- Work fully remotely from any European country (incl. the UK) you are already in.
- Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven).
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.
