Hardware Engineer - Quantum Photonics for AI Compute

Hardware Engineer - Quantum Photonics for AI Compute

Full-Time 45000 - 54000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Advance cutting-edge photonic quantum computing hardware for AI and ML workloads.
  • Company: Join ORCA Computing Ltd, a leader in quantum technology based in London.
  • Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
  • Other info: Collaborate with experts in a dynamic and innovative environment.
  • Why this job: Be at the forefront of quantum technology and make a real impact in AI.
  • Qualifications: Degree in electronics with 2-4 years of relevant experience required.

The predicted salary is between 45000 - 54000 £ per year.

ORCA Computing Ltd in London is seeking a hands-on hardware engineer to advance the PT-Series photonic quantum computing platform, accelerating AI and ML workloads.

You will contribute across the full hardware lifecycle from concept to validated, production-ready designs.

You will collaborate with physicists, optical engineers, and software developers to deliver integrated electronics. A degree in electronics and 2–4 years’ experience are essential.

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Hardware Engineer - Quantum Photonics for AI Compute employer: ORCA Computing Ltd

At ORCA Computing, we pride ourselves on being at the cutting edge of quantum technology, offering our employees a unique opportunity to work on groundbreaking projects that have real-world applications. Our collaborative and innovative work culture fosters personal and professional growth, allowing you to take ownership of your designs while working alongside experts in various fields. Located in London, we provide a dynamic environment where your contributions directly impact the future of computing, all while enjoying the vibrant culture of one of the world's most exciting cities.

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Contact Details:

ORCA Computing Ltd Recruitment Team

We think you need these skills to ace Hardware Engineer - Quantum Photonics for AI Compute

Python
SQL
Problem-Solving Skills
Data Engineering
Data Pipeline Development
API Integration
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