Power Systems Software Engineer β€” Grid AI & Modeling in London

Power Systems Software Engineer β€” Grid AI & Modeling in London

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

  • Tasks: Build innovative software for grid operators, including backend services and cloud infrastructure.
  • Company: Join Squid, a pioneering tech company based in London.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with high ownership and impact.
  • Why this job: Shape the future of power systems with AI while collaborating closely with founders.
  • Qualifications: Experience in power systems and software engineering is essential.

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

Squid, based in London, is hiring a Software Engineer with power systems experience to join early on as one of the first engineers.

You will build production software for grid operators, spanning backend services, data pipelines, frontend interfaces and cloud infrastructure.

The role blends power engineering with applied AI and close customer collaboration.

You will work directly with founders and early engineers, shaping product, architecture and engineering culture in a high-ownership

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Power Systems Software Engineer β€” Grid AI & Modeling in London employer: Squid

Squid offers an exceptional work environment for AI-Driven Grid Software Engineers, providing a unique opportunity to be among the first engineers in London and directly collaborate with founders. With a strong focus on innovation, employees enjoy a culture that encourages ownership, creativity, and professional growth, all while working in the vibrant heart of central London, which enhances both personal and professional experiences.

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Contact Details:

Squid Recruitment Team

We think you need these skills to ace Power Systems Software Engineer β€” Grid AI & Modeling in London

Power Systems Experience
Software Development
Backend Services
Data Pipelines
Frontend Interfaces
Cloud Infrastructure
Applied AI