Senior Engineer - Computing Architecture
To see similar active jobs please follow this link: Remote Development jobs
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 Axelera AI is seeking a talented and experienced Senior Engineer – Computing Architecture to design and develop the next generation of AI computing systems. In this critical role, you will work closely with hardware, software, and product teams to define architectural requirements, optimize system performance, and ensure scalability for our AI solutions.
As a senior engineer, you will contribute to the conceptualization, specification, and implementation of advanced computing architectures, enabling Axelera AI to deliver cutting-edge solutions that meet the demanding needs of our customers.
Key responsibilities:
Architecture Design: Define and develop computing architectures for AI systems, including processor, memory, and interconnect subsystems.
Performance Optimization: Analyze and optimize computational workloads, ensuring low power consumption, high efficiency, and maximum performance for AI applications.
Technology Leadership: Drive innovation in architectural design by evaluating emerging technologies, industry trends, and academic advancements.
Cross-Functional Collaboration: Work with hardware, software, and product teams to translate system requirements into architectural solutions that balance performance, cost, and power.
Hardware-Software Co-Design: Collaborate on the co-design of AI accelerators and other key computing components to achieve seamless integration and operational excellence.
System Modeling: Develop simulation and modeling tools to validate architectural designs and predict system performance under various workloads.
Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of excellence and innovation within the team.
Qualifications:
Essential
Master’s or PhD in Computer Engineering, Electrical Engineering, or a related field.
5+ years of experience in computing architecture or system design, preferably within AI, semiconductor, or computing domains.
Strong expertise in processor design, memory hierarchies, and interconnect technologies.
Proficiency in architectural modeling, simulation tools, and performance analysis frameworks.
Deep understanding of AI workloads, algorithms, and dataflow.
Proven track record of delivering complex computing architectures from concept to implementation.
Strong communication and collaboration skills, with the ability to work in a multidisciplinary and global environment.
Preferred
Experience in designing AI accelerators, including neural processing units (NPUs) or graphics processing units (GPUs).
Proficient in programming languages such as C or Python.
Familiarity with high-performance computing (HPC) techniques and standards.
Knowledge of edge AI deployment scenarios and their unique architectural challenges.
Experience with hardware description languages (HDLs) such as Verilog or VHDL.
Expertise in power management and thermal design for embedded systems.
Location
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 Amsterdam or Eindhoven in the Netherlands, or Bologna, Florence or Milan in Italy.
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.
About the job
Senior Engineer - Computing Architecture
To see similar active jobs please follow this link: Remote Development jobs
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 Axelera AI is seeking a talented and experienced Senior Engineer – Computing Architecture to design and develop the next generation of AI computing systems. In this critical role, you will work closely with hardware, software, and product teams to define architectural requirements, optimize system performance, and ensure scalability for our AI solutions.
As a senior engineer, you will contribute to the conceptualization, specification, and implementation of advanced computing architectures, enabling Axelera AI to deliver cutting-edge solutions that meet the demanding needs of our customers.
Key responsibilities:
Architecture Design: Define and develop computing architectures for AI systems, including processor, memory, and interconnect subsystems.
Performance Optimization: Analyze and optimize computational workloads, ensuring low power consumption, high efficiency, and maximum performance for AI applications.
Technology Leadership: Drive innovation in architectural design by evaluating emerging technologies, industry trends, and academic advancements.
Cross-Functional Collaboration: Work with hardware, software, and product teams to translate system requirements into architectural solutions that balance performance, cost, and power.
Hardware-Software Co-Design: Collaborate on the co-design of AI accelerators and other key computing components to achieve seamless integration and operational excellence.
System Modeling: Develop simulation and modeling tools to validate architectural designs and predict system performance under various workloads.
Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of excellence and innovation within the team.
Qualifications:
Essential
Master’s or PhD in Computer Engineering, Electrical Engineering, or a related field.
5+ years of experience in computing architecture or system design, preferably within AI, semiconductor, or computing domains.
Strong expertise in processor design, memory hierarchies, and interconnect technologies.
Proficiency in architectural modeling, simulation tools, and performance analysis frameworks.
Deep understanding of AI workloads, algorithms, and dataflow.
Proven track record of delivering complex computing architectures from concept to implementation.
Strong communication and collaboration skills, with the ability to work in a multidisciplinary and global environment.
Preferred
Experience in designing AI accelerators, including neural processing units (NPUs) or graphics processing units (GPUs).
Proficient in programming languages such as C or Python.
Familiarity with high-performance computing (HPC) techniques and standards.
Knowledge of edge AI deployment scenarios and their unique architectural challenges.
Experience with hardware description languages (HDLs) such as Verilog or VHDL.
Expertise in power management and thermal design for embedded systems.
Location
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 Amsterdam or Eindhoven in the Netherlands, or Bologna, Florence or Milan in Italy.
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.