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S-Cube is a high-growth tech venture taking the energy industry by storm

We are known for creating revolutionary optimisation algorithms and software deployed cloud-natively on AWS. Now a leading provider of transformatory technology to some of the world's largest energy companies, S-Cube are looking to expand. 

To take us on our journey to be the leading technology provider to the energy sector and beyond we are open to applications for the roles of Algorithm Researcher and Algorithm Developer.

You will be joining a team of close-knit highly-skilled developers who have contributed to the fast growth of the company delivering real-world impact to solve some of the most complex mathematical engineering challenges.

Our stack

  • Classical optimisation and deep learning core scientific parallelised workload - written in Fortran/C
  • Cloud infrastructure code - written mostly in Python leveraging many AWS services (EC2, Spot Fleet, S3, SQS, CloudWatch, Lambda) with Terraform, Serverless, Docker containers
  • Web-based visualisation interface - written in Angular against a Django backend

Our benefits

  • Competitive salary with unrivalled performance-related incentive scheme
  • Fast-paced working environment equipping you with the skills to take innovative ideas from proof-of-concept through to deployment
  • Culture of learning and experimentation at every opportunity with time for expanding your skills in the latest technologies and underlying mathematical theory

See below for more details and send your CV to careers@s-cube.com if this sounds like you.​

Algorithm Researcher

About the Position

We are seeking a talented Mathematics, Computer Science or Engineering graduate with an obsessive passion for predictive algorithms, to help us on our journey to becoming the leading technology service provider in the energy sector and beyond, interested in fundamental projects such as:

  • Using Generative Adversarial Networks (GAN’s) to be able to map seismic data from the elastic domain to the acoustic domain
  • Exploring Bayesian Optimisation techniques for hyperparameter tuning in non-linear optimisation 
  • Exploring theories and concepts to define and modify new loss functions to give the kinematic misfit between predicted and recorded sound

Skills and Requirements

You'd be a good fit if you can/have:

  • Maths, CS or Engineering degree from a top-ranked institution
  • a firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex Analysis, Variational Principles, Optimisation, Machine Learning  
  • some experience or demonstrable interest in voice or sound recognition algorithms and related programming paradigms (something you might use the NumPy/SciPy/OpenCV stack for)
  • find your way around a Unix-y shell, and have some natural inclination towards automating things
  • familiarity (or can learn very quickly) with most of the languages and frameworks used in our stack
  • own problems end-to-end and willing to pick up whatever knowledge you're missing to get the job done 

Algorithm Developer

About the Position

We are seeking a talented Computer Science or similar graduate who is passionate about technology and software development capable of:

  • creating python scripts and APIs to work on AWS for optimisation processes
  • prototyping new formulations of the XWI algorithm and fine-tuning for computational efficiency
  • deploying and managing our platform on AWS for large-scale deployments 

Skills & Requirements:

You'd be a good fit if you have:

  • Maths, CS or Engineering degree from a top-ranked institution
  • Python 3 development experience
  • Strong object-oriented programming fundamentals
  • Understanding of database design and advanced SQL queries
  • HTML/CSS/JS
  • Passion for development and problem solving
  • Angular experience
  • AWS experience
  • C# experience
S-Cube Cloud

Run Full Waveform Inversion on the Cloud

Use XWITM on AWS to discover a step change in accuracy and resolution of your velocity model.