Head of Engineering (Spatial Computing XR AR)

Imvizar
Leeds
11 months ago
Applications closed

Related Jobs

View all jobs

Head of Machine Learning (Recommendations, AI Stylist & Search)

Data Scientist – GenAI & AI Engineering

Vice President, Head of Discovery Data Science

Senior Research Data Scientist

Data Science Manager

Senior Machine Learning Engineer

At Imvizar, it is our vision to revolutionise storytelling through truly immersive, storytelling experiences. We are pushing the boundaries through our user-centric interaction design process to create experiences which evoke emotion and connection unlike any other.


Over the last three years we have launched over 100 augmented reality experiences in 11 countries, for clients such as Salesforce, Bupa, Spike Island, Grant Thornton and many more. This year we will open spatial storytelling to creators around the world by launching Lureo, the world’s first no-code spatial storytelling platform.


The Opportunity

We are seeking a visionaryHead of Engineering (Spatial Computing)to lead the technical strategy and execution of Lureo, our no-code spatial storytelling platform. This individual will be responsible for architecting and developing cutting-edge technology that enables seamless, world-class immersive experiences. You will oversee the engineering team, drive innovation, and ensure that our platform remains at the forefront of spatial computing advancements. This role will be a healthy mix of hands on development and strategic leadership.


Key Responsibilities:

  • Technical Leadership & Strategy:Develop and execute the engineering roadmap for our no-code spatial storytelling platform.
  • Platform Development:Oversee the architecture, development, and optimization of the platform, ensuring performance, scalability, and ease of use.
  • Innovation & R&D:Stay ahead of industry trends in spatial computing, AR/VR/MR, AI-driven content generation, and real-time 3D rendering.
  • Team Management & Growth:Recruit, mentor, and lead a high-performing engineering team across multiple disciplines (e.g., software engineering, 3D graphics, AI, networking, and user experience).
  • Experience Production:Collaborate closely with creative and content teams to deliver immersive spatial storytelling experiences, ensuring technical feasibility and excellence.
  • Cross-Functional Collaboration:Work closely with Product, Design, and Business teams to align technical execution with company goals.
  • Quality & Performance:Establish best practices in software development, including code reviews, testing, security, and deployment processes.


The ideal candidate will have…


  • Proven experience as a senior engineering leader in spatial computing, gaming, AR/VR/MR, or related fields.
  • Expertise in real-time 3D graphics, game engines (Unity, Unreal, or WebXR), and immersive interaction design.
  • Strong background in architecting and building scalable platforms, ideally in no-code/low-code environments.
  • Proficiency in programming languages such as C++, C#, Python, or JavaScript (WebGL, Three.js, etc.).
  • Deep understanding of networking, cloud computing, and backend systems that support immersive experiences.
  • Experience in Unity, C#, Web development, WebGL, and backend technologies.
  • Experience leading engineering teams, fostering innovation, and scaling technology.
  • Bachelor's or Master's degree in Computer Science or a related field
  • At least 10 years of experience in software engineering, with at least 5 years of experience managing engineering teams
  • Ability to write clean, readable, reusable, and easily maintainable code;
  • Experience with source control systems and CI/CD workflows
  • Experience integrating 3rd party plugins, SDKs and APIs
  • A working style that is highly collaborative and open to working with multidisciplinary teams
  • Possess a ‘can do’ attitude and strong drive to deliver a world class product


Nice to Have:

  • Experience with AI-driven content generation and procedural storytelling.
  • Familiarity with spatial mapping, SLAM, LiDAR, or computer vision technologies.
  • A passion for storytelling, immersive experiences, and democratizing spatial computing.


What We Offer:

  • A unique opportunity to shape the future of spatial storytelling.
  • A collaborative and creative work environment with cutting-edge technology.
  • Competitive salary, equity options, and benefits.
  • Flexible work arrangements, including remote work options


Compensation 

A competitive salary with the potential to earn equity in the company.


Additional benefits

  • Share options
  • Flexible working hours
  • Training days
  • Company events
  • Work from home


PLEASE NOTE: This position is ideally hybrid in Dublin/Ireland, however, we are open to remote roles for the right candidate.


Next Steps


Send us a one-pager outlining why you are suitable for the role, along with your CV and relevant links for e.g. LinkedIn profile, website, GitHub or other project links you think might be of interest, to


The opportunity will remain open until the right candidate is found so we encourage interested applicants to apply as soon as possible.


Please note:

No recruiters, please. We receive a high volume of applications, so only shortlisted candidates will be contacted for further discussion. Thank you for your understanding and interest.


A culture of creativity is at the core of Imvizar. Our commitment to diversity, equity, and inclusion are central to our mission and to our impact. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their full, authentic selves to work. We know that having varied perspectives helps generate better ideas to solve the complex problems of a changing world.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.