Airon.ai — next-generation AI infrastructure
Be part of building the systems that power the next generation of AI.
Why Airon, why now
Every wave of AI capability rests on the infrastructure beneath it. Airon is building that foundational layer — the compute and capacity that the world's most demanding AI workloads run on.
We are growing fast, working with sophisticated international enterprise customers and building the infrastructure required to support increasingly large and demanding AI workloads. This creates engineering challenges that are complex and evolving in real time.
This is a rare window to join. The market is being defined as we build, the technical decisions matter, and the engineers who join us now will have a real opportunity to shape our technology, architecture and engineering culture from the ground up.
Who we are
A tight-knit, high-energy team where people care about what they build, help each other out and have fun along the way.
We build, own and operate our own datacenters in Sweden, running on renewable power, and sell dedicated bare-metal NVIDIA GPU compute to enterprise customers. Everything from the physical facilities to the software platform is ours, which is why the engineering here is unusually broad.
The role
As Mechanical Engineer, you will own the cooling that makes our compute density possible — and keep it running while the load keeps growing.
You will work hands-on with direct liquid cooling, CDUs, chilled water, pumps, heat rejection and air handling, taking ownership from planned maintenance and fault-finding through efficiency tuning and commissioning of new capacity. You will not simply execute against predefined specifications; you will help identify the right problems to solve and influence how we build as Airon scales.
You will work closely with our lead electrical engineer, the platform team, contractors and the expansion project.
What you'll do
- Own solutions end-to-end — from architecture and implementation to deployment, monitoring and continuous improvement.
- Contribute to technical decisions and help shape our architecture, engineering principles and ways of working.
- Improve the reliability, performance and scalability of our technology as the business grows.
- Use AI and modern engineering tools to increase development speed, quality and operational efficiency.
- Own the cooling and mechanical systems at our AI factory in daily operation.
- Run planned maintenance, water quality and filtration routines, and respond to faults on site.
- Tune the plant for efficiency as load grows, and know where the thermal headroom actually is.
- Operate cooling and power as one system together with our lead electrical engineer.
- Take part in commissioning new capacity and in design review for new halls.
- Participate in on-call rotations as needed (physically and/or digitally).
We believe you
- Are an experienced mechanical or HVAC engineer from data centers, industry or another process-critical environment.
- Understand cooling as a system: hydraulics, heat transfer, control loops and what happens when one of them misbehaves.
- Have practical experience of maintenance and fault-finding on live sites.
- Have picked up enough of the electrical side to work sensibly alongside it.
- Hold a category B driver’s license and are willing to travel between our sites.
- Are comfortable taking work from problem definition to a reliable, working solution.
- Can make thoughtful trade-offs between speed, scalability, reliability, security and technical complexity.
- Are comfortable working hands-on in an international, fast-moving environment.
- Have a genuine interest in using AI and modern engineering tools to improve how software and infrastructure are built.
Bonus points for
- Direct-to-chip liquid cooling and high-density rack deployments.
- Heat reuse, for example delivery into district heating.
- BMS and control system work, including tuning and alarms.
- Refrigerant certification and pressure equipment routines.
- Speaking Swedish, for day-to-day work at the site and with contractors.
- Experience from AI infrastructure, cloud infrastructure, data centers, distributed systems, high-performance computing or another relevant technical environment.
- Experience working in an early-stage, high-growth or rapidly changing company.
- Experience building systems that support enterprise customers or business-critical workloads.
Who you are
- Curious and technically ambitious, with a genuine interest in understanding how things work.
- Low-ego and action-oriented, with a strong sense of ownership.
- Analytical and pragmatic, with the ability to turn complex problems into working solutions.
- Comfortable navigating ambiguity.
- Collaborative and direct, with the ability to communicate technical decisions clearly.
- Motivated by solving difficult problems and building technology that matters.
What's in it for you
A chance to build the foundational infrastructure behind the next generation of AI — while the market and the technology are still taking shape.
You will work on complex, real-world engineering challenges with significant room to influence architecture, technical direction and how Airon builds. You will join early enough to make a visible impact, take meaningful ownership and help shape the engineering culture as the company scales.
If you have been looking for an engineering role where the problems are genuinely difficult, the pace is high and what you build has a direct impact — this is it.
Practical
- Location: Lidköping, on site. B driver’s license and travel between our sites required.
- We ask all candidates to consent to a background check before starting with us.
About your application
Send your application to career@airon.ai. Tell us a little about yourself, what you are great at and what you would like to build with us.
We know that great candidates do not always match every requirement on paper. If this opportunity excites you and you believe you could make an impact at Airon, we would still like to hear from you.
Ready to join us?
Help us build the infrastructure that powers the next generation of AI.