Field-Ready Optical AI Compute Systems Engineer in Oxford

Field-Ready Optical AI Compute Systems Engineer in Oxford

Oxford Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the technical delivery of cutting-edge AI servers and integrate groundbreaking technology.
  • Company: Lumai, an innovative tech company based in Oxford.
  • Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
  • Why this job: Join us to revolutionise AI computing and make a real impact in technology.
  • Qualifications: Expertise in systems engineering and hands-on experience with AI infrastructure.

The predicted salary is between 50000 - 70000 Β£ per year.

Lumai, based in Oxford, is seeking a Product Systems Engineer to lead the technical delivery of their Iris servers. This role involves hands-on integration within a groundbreaking AI accelerator project. The position requires expertise in systems engineering and hands-on experience with AI infrastructure.

The successful candidate will play a critical role in deploying and troubleshooting hardware units, directly impacting the efficiency of AI computing. Join us in transforming technology with radical optical compute.

Field-Ready Optical AI Compute Systems Engineer in Oxford employer: Lumai

At Lumai, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Field-Ready Optical AI Compute Systems Engineer, you will not only contribute to cutting-edge technology but also benefit from extensive professional development opportunities in the vibrant city of Oxford. Join us to be part of a collaborative team that values creativity and offers a unique chance to shape the future of AI computing.

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Contact Details:

Lumai Recruitment Team

We think you need these skills to ace Field-Ready Optical AI Compute Systems Engineer in Oxford

Systems Engineering
AI Infrastructure
Hardware Integration
Troubleshooting
Technical Delivery
Product Systems Engineering
AI Computing