AI Accelerator Product Systems Engineer

The Opportunity

Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches.

Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally.

If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen.

Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics.

Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, Photon Ventures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally.

We are bringing the world's first optical AI compute platform to market. As we move from development into field deployment, we are looking for a Product Systems Engineer to own the hands‑on technical delivery of Iris servers – from integration and bring‑up inside our engineering team through to deployment and live operation in third‑party data centre environments.

You will begin by working directly alongside our core engineering team – owning the integration and validation of Lumai Iris server units. This is intentional: the best way to develop deep expertise in a novel platform is to build it. As deployments go live, you will take ownership in the field – leading system bring‑up, performance characterisation, and post‑deployment support, and acting as the primary technical contact for data centre operators and end customers.

This is an opportunity to work at the cutting edge of efficient AI inference – deploying a genuinely novel compute platform into production for the first time, and playing a central role in how it reaches the world.

• Integrate and build Lumai Iris server units alongside the engineering team – owning bring‑up, validation, and performance characterisation of units ahead of deployment

• Lead system bring‑up, validation, and performance characterisation of deployed units in third‑party data centre environments

• Own on‑site and remote troubleshooting of hardware issues, acting as the first line of response post‑deployment

• Train and enable data centre operators and customer engineering teams on the Iris platform

• Act as the primary post‑deployment technical contact for customers and data centre operators

• Feed field findings, deployment issues, and customer feedback back into product and engineering

Must‑Have

• Hands‑on experience in a systems engineering, field engineering, or hardware deployment role within AI infrastructure, HPC, or comparable hardware

• Practical experience with system integration, bring‑up, and hardware‑level troubleshooting

• Familiarity with data centre environments – rack power, thermal, and networking

• Comfortable in a customer‑facing role, able to communicate clearly with operators and engineering teams alike

• Comfortable working in a fast‑moving, early‑stage environment where the product and the deployment playbook are both still being developed

Strong Preference For

• Experience with AI inference hardware or accelerated compute systems

• Enough performance analysis experience to characterise results and explain them to customer teams

• Genuine curiosity in novel compute architectures – post‑silicon approaches

• Programming literacy (for example Python) sufficient to engage credibly on benchmark methodology and basic automation

• Experience in a deep‑tech, semiconductor, or hardware startup environment

• Highly Competitive Salary: We are not saying our salary is a blank check,…