Senior Engineer β€” Quantum & AI Platform (Remote) in London

Senior Engineer β€” Quantum & AI Platform (Remote) in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Q

At a Glance

  • Tasks: Design and build high-performance cloud-native services for quantum applications.
  • Company: Join Qubitra, a leader in quantum and AI technology.
  • Benefits: Enjoy remote work flexibility and competitive salary packages.
  • Other info: Collaborate with top researchers and data scientists in a dynamic environment.
  • Why this job: Be at the forefront of quantum tech and influence cutting-edge architecture.
  • Qualifications: Experience in engineering and a passion for quantum technologies.

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

Qubitra is seeking a Senior Engineer to build core platform components for quantum and quantum-inspired applications and a trading platform. This hands-on role involves designing high-performance, cloud-native services and translating research into production systems, collaborating with researchers, data scientists, and product teams.

You’ll own end-to-end components, influence architecture, and advance an AI-assisted development workflow.

Senior Engineer β€” Quantum & AI Platform (Remote) in London employer: Qubitra

At Qubitra, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to push the boundaries of technology. As a remote employer, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth in the cutting-edge fields of quantum computing and AI. Join us to be part of a collaborative team where your contributions directly impact the future of technology and trading platforms.

Q

Contact Details:

Qubitra Recruitment Team

We think you need these skills to ace Senior Engineer β€” Quantum & AI Platform (Remote) in London

Cloud-Native Services
High-Performance Computing
Quantum Computing
AI-Assisted Development
System Design
Collaboration with Researchers
Data Science Integration