Chief Technology Officer

Chief Technology Officer

Full-Time 120000 - 180000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Co-lead the development of a revolutionary AI compute architecture and scalable infrastructure.
  • Company: Pioneering tech firm focused on innovative AI solutions.
  • Benefits: Competitive salary, equity options, flexible work arrangements, and professional growth opportunities.
  • Other info: Dynamic role with the chance to lead a multidisciplinary engineering team.
  • Why this job: Join a groundbreaking team and shape the future of AI technology.
  • Qualifications: Extensive experience in system-level architecture and silicon design.

The predicted salary is between 120000 - 180000 € per year.

We are building a fundamentally new AI compute paradigm — one that moves beyond traditional GPU/TPU architectures. Rather than relying on matrix-matrix execution pipelines and instruction-driven scheduling, our system performs computation directly within persistent data structures mapped onto silicon. This enables a new class of scalable, structure-native compute infrastructure with significantly improved dataflow efficiency, latency characteristics, and system scalability.

We are seeking a Chief Technology Officer to co‑lead the translation of this architectural paradigm into manufacturable silicon and deployable compute infrastructure. This is not a conventional chip CTO role. It is a system‑level architecture + silicon realization + infrastructure scaling challenge.

Role Overview

  • Co‑define and industrialize a non‑GPU‑path AI compute architecture based on structure‑driven dataflow
  • Translate architectural concepts into manufacturable silicon across realistic process nodes (28nm–5nm)
  • Own end‑to‑end system realization: chip → package → board → cluster‑scale infrastructure
  • Lead development of a scalable compute platform for large‑model workloads
  • Build and lead a multidisciplinary engineering organization

Core Responsibilities

  • Architecture

Chief Technology Officer employer: BLAZECORP PTE. LTD.

As a pioneering force in AI compute technology, we offer an exceptional work environment that fosters innovation and collaboration. Our culture prioritises employee growth through continuous learning opportunities and a commitment to pushing the boundaries of technology. Located in a vibrant tech hub, we provide unique advantages such as access to top talent and cutting-edge resources, making us an ideal employer for those seeking meaningful and rewarding careers in a transformative field.

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Contact Detail:

BLAZECORP PTE. LTD. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Chief Technology Officer

Tip Number 1

Network like a pro! Connect with industry professionals on LinkedIn and attend tech meetups. We can’t stress enough how important it is to get your name out there and make those valuable connections.

Tip Number 2

Showcase your expertise! Create a portfolio or blog where you share insights about AI compute paradigms and system-level architecture. This not only demonstrates your knowledge but also makes you stand out to potential employers.

Tip Number 3

Prepare for interviews by diving deep into the company’s tech stack and recent projects. We recommend practising common CTO interview questions and formulating your thoughts on how to tackle their unique challenges.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Chief Technology Officer

AI Compute Architecture
Silicon Realization
Dataflow Efficiency
System Scalability
Multidisciplinary Team Leadership
Chip Design
Package Design

Some tips for your application 🫡

Show Your Passion for Innovation:When writing your application, let us see your enthusiasm for cutting-edge technology. Share your thoughts on how you can contribute to our unique AI compute paradigm and why you're excited about moving beyond traditional architectures.

Tailor Your Experience:Make sure to highlight your relevant experience in system-level architecture and silicon realization. We want to know how your background aligns with the challenges of this role, so be specific about your achievements and projects that relate to scalable compute infrastructure.

Be Clear and Concise:While we appreciate creativity, clarity is key! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to digest your qualifications and ideas quickly.

Apply Through Our Website:We encourage you to submit your application through our website. This helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!

How to prepare for a job interview at BLAZECORP PTE. LTD.

Understand the Tech Landscape

Make sure you’re well-versed in the latest advancements in AI compute paradigms, especially those that move beyond traditional architectures. Familiarise yourself with structure-driven dataflow concepts and be ready to discuss how they can be applied in real-world scenarios.

Showcase Your Leadership Skills

As a Chief Technology Officer, you'll need to lead a multidisciplinary team. Prepare examples of how you've successfully built and managed teams in the past, particularly in tech environments. Highlight your experience in scaling infrastructure and driving innovation.

Prepare for Technical Deep Dives

Expect to dive deep into technical discussions about silicon realization and system-level architecture. Brush up on your knowledge of process nodes from 28nm to 5nm and be ready to explain how you would approach translating architectural concepts into manufacturable silicon.

Align with Their Vision

Research the company’s mission and vision regarding AI compute infrastructure. Be prepared to articulate how your own vision aligns with theirs and how you can contribute to their goals, especially in developing scalable compute platforms for large-model workloads.