Quaisr

Develop and improve cloud-based software that integrates simulations, data, and AI for industrial engineering applications while contributing to product development and deployment.Who we areWe are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team.Who you areYou are an early-career software developer or recent graduate with a keen interest in generating real-world impact with industrial applications.Must have:A recent degree in a STEM field (e.g., engineering, physics, mathematics, computer science).Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes.Strong communication skills.Programming experience with any of C#, Rust, or other typed languages;Interest in cloud technologies: e.g. AWS or Azure.Eligibility to work in the UK.Nice to have:Understanding of software engineering best practices.Some exposure to applied experience, e.g., internships, research projects, or personal projects.Familiarity with DevOps tools like Kubernetes, HashiCorp Nomad, Docker.Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security;Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail.Customer interaction experience.Bonus:Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch);Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries;Experience with high-performance computing (HPC).What we doWe are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems.Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors.Where we operateOur office is in London (White City). This position is available full time in the UK.When we workWe offer 25 days paid annual leave, in addition to UK bank holidays.What you will doYou will have opportunities to contribute to exciting projects and grow your career in a supportive environment:(60%) Support the development and testing of features, fixes and general improvements to the core Quaisr product. Investigate and address production issues..(20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery.(20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars.What we offerSalary range of £45,000 to £55,000 depending on experience.Development training and support to learn required technical skills.Employee stock options.New equipment: MacBook Pro, and work-from-home allowance.Opportunities to attend technical conferences.Flexible hybrid working environment, blending work from the office and home.

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