At a Glance
- Tasks: Design and develop next-gen AI computing systems with cutting-edge technology.
- Company: Join Axelera AI, a pioneering deep-tech startup transforming the AI landscape.
- Benefits: Attractive compensation, pension plan, employee insurances, and company shares.
- Other info: Flexible working arrangements available across Europe, fostering creativity and innovation.
- Why this job: Shape the future of AI while working in a dynamic, inclusive environment.
- Qualifications: Master’s or PhD in relevant fields with 5+ years in computing architecture.
The predicted salary is between 80000 - 100000 £ per year.
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 $370 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 18 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
Axelera AI is seeking a talented Senior/Staff 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 Computing Architecture 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 accelerators.
- 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.
- System Modeling & Tooling Development: Develop simulation and modeling tools to validate architectural designs and predict system performance across target AI 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 AI accelerator designs, including neural processing units (NPUs) or graphics processing units (GPUs).
- Proficiency in architectural modeling, simulation tools, and performance analysis frameworks.
- Proficiency in Python or C++ programming with a strong understanding of language features and best practices.
- Deep understanding of state-of-the-art AI inference 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.
Additionally preferred:
- Familiarity with the modern IC design flow from architecture to GDSII to communicate with silicon implementation stakeholders.
- Familiarity with parallel programming models, e.g. via CUDA or similar APIs.
- Hands-on experience with low-level programming close to hardware and understanding of computer system architecture basics.
- Experience with AI compilation frameworks such as MLIR and/or TVM.
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 Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven).
Kindly note that priority will be given to candidates who are [interested in being] based in Belgium or 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.
Senior/Staff Engineer - Computing Architecture employer: Axelera AI
Axelera AI is an exceptional employer, offering a vibrant and inclusive work culture that fosters creativity and innovation. With flexible working arrangements across multiple European locations, employees benefit from a competitive compensation package, including pension plans and share options, while having the opportunity to collaborate with a world-class team dedicated to advancing AI technology. The company prioritises employee growth through mentorship and cross-functional collaboration, making it an ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior/Staff Engineer - Computing Architecture
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Axelera AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Axelera AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Axelera AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Axelera AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior/Staff Engineer - Computing Architecture
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Axelera AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Axelera AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Axelera AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Axelera AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.