Axelera AI
Senior/Staff Engineer - Computing Architecture

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Senior/Staff Engineer - Computing Architecture
Senior/Staff Engineer – Computing Architecture
About Axelera AI
Axelera AI is revolutionising the next-generation AI platform to empower humanity and drive global improvements. In just four years, we’ve raised $370 million, assembled a world-class team (220+ employees, including 49+ PhDs), and built our Metis™ AI Platform, which delivers a 3-5x boost in efficiency and performance. Operating from offices in Belgium, France, Switzerland, Italy, the UK and the Netherlands, we’re shaping the future of AI with industry-leading innovation.
Join us—are you ready for the challenge?
Position Overview
Axelera AI is seeking a Senior/Staff Engineer – Computing Architecture to design, develop, and optimise the next generation of AI computing systems. This pivotal role involves working across hardware, software, and product teams to define architectural requirements, maximise scalability, and ensure cutting-edge AI solutions meet customer demands.
As a Computing Architecture Engineer, you’ll drive the conceptualisation, specification, and implementation of advanced AI computing architectures, underpinning our mission to scale impact globally.
Key Responsibilities
- Architecture Design: Specify and engineer AI accelerator architectures (e.g., NPUs, GPUs).
- Performance Optimisation: Analyze and refine computational workloads for low power consumption, high efficiency, and peak performance.
- Technology Leadership: Stay ahead of industry trends, emerging tech, and academic research.
- Cross-Functional Collaboration: Bridge hardware/software/Product teams to align architectures with performance, cost, and power constraints.
- System Modeling & Tooling: Develop simulation frameworks to validate designs and predict performance across AI workloads.
- Mentorship & Knowledge Sharing: Guide junior engineers, fostering a culture of excellence and innovation.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
Essential:
- Master’s or PhD in Computer, Electrical Engineering, or a related field.
- 5+ years experience in computing architecture/system design (preferably in AI, semiconductors, or computing domains).
- Deep expertise in AI accelerators (e.g., NPUs, GPUs) and hardware performance profiles.
- Proficiency in architectural modeling, simulation tools, and performance analysis frameworks.
- Strong Python/C++ coding skills (optimisation best practices).
- State-of-the-art AI inference expertise, including workloads, algorithms, and dataflow.
- Proven ability to design, simulate, and implement complex architectures end-to-end.
- Excellent collaboration and cross-functional communication (global, multidisciplinary Teams).
Desirable:
- IC design flow familiarity (architecture-to-GDSII) for seamless silicon stakeholder integration.
- Parallel programming (e.g., CUDA + custom APIs).
- Hands-on low-level hardware programming; understanding of .xml system architecture concepts essential.
- Experience with AI compilation frameworks (e.g., MLIR, TVM).
Location Flexibility


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Accommodate your lifestyle or career path with our flexible arrangements:
- On-site options in our offices:
- (Belgium) Leuven
- (Netherlands) Amsterdam, Eindhoven
- (Switzerland) Zurich
- (Italy) Florence, Milan
- (UK) Bristol
- Fully remote from any European country (including the UK) if already settled there.
- Relocate with us and work from Italy (Florence/Milan) or Netherlands (Amsterdam/Eindhoven).
Note: Priority given to candidates relocating to Belgium or Italy.
What We Offer
Join a dynamic, fast-growing, international team with:
- ✅ Competitive compensation package (including pension and employee insurance).
- ✅ Equity opportunities (company shares).
- ✅ Open, creative, and collaborative culture—where ownership, freedom, and responsibility thrive.
- ✅ Diversity and inclusion at our core; we celebrate backgrounds and cultivate belonging.
Shape the future of AI with us—be part of changing the world.
Applicants from all backgrounds are welcome.
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Jessica, London
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