Optical AI Compute Systems Engineer (Equity) in Oxford

Optical AI Compute Systems Engineer (Equity) in Oxford

Oxford Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the delivery of cutting-edge optical AI compute systems from integration to deployment.
  • Company: Join Lumai Limited, pioneers in optical AI technology.
  • Benefits: Competitive salary, equity options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on hands-on learning and development.
  • Why this job: Be at the forefront of AI innovation and make a real impact in tech.
  • Qualifications: Experience in systems engineering and a passion for AI technologies.

The predicted salary is between 60000 - 80000 £ per year.

Lumai Limited is bringing the world's first optical AI compute platform to market. The Product Systems Engineer will own hands-on delivery of Iris servers, from integration through to deployment in data centres, with primary responsibility for field bring-up, performance characterisation and post-deployment support.

You will work closely with our core engineering team and data centre operators, gaining deep platform expertise while shaping deployment playbooks and customer interactions.

Optical AI Compute Systems Engineer (Equity) in Oxford employer: Lumai Limited

At Lumai, we are not just redefining computation; we are creating a vibrant and inclusive work culture that fosters innovation and collaboration. As a rapidly growing UK startup, we offer competitive salaries, share options, and a generous learning and development allowance, ensuring our employees have the resources to thrive. Join us in Oxford, where you will have the unique opportunity to shape groundbreaking technology while enjoying a supportive environment that values your contributions and promotes personal growth.

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Contact Details:

Lumai Limited Recruitment Team

We think you need these skills to ace Optical AI Compute Systems Engineer (Equity) in Oxford

Hands-on Delivery
Integration
Deployment in Data Centres
Field Bring-up
Performance Characterisation
Post-deployment Support
Collaboration with Engineering Teams