Simulation Software Engineer - AI/ML and Numerics

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Schlumberger is leading a digital transformation of the oil and gas and sustainable industry to enhance real-time global collaboration, operational efficiency, and the integration of data, expertise, and technology information. Our technology services and solutions translate acquired data into useful information that improves decision-making—anytime, anywhere.

Our team of software domain experts invents, designs, and applies disruptive cutting-edge technologies to enable our customers to increase reliability, efficiency, and integration. Throughout, we maintain agile methodology and skilled development processes.

As a Schlumberger Software Engineer you’ll have responsibility throughout the full development cycle. You’ll apply your skills in computer science, engineering, and mathematics to design, develop, and test software. Whether you’re creating new products in our transformational programs or enhancing existing ones, you’ll have the opportunity to listen to what each customer needs and bring all the elements together to provide solutions.

Job Specifications:

At Schlumberger’s Abingdon Technology Centre, you will be working with the physics and high performance computing teams responsible for producing high quality scientific software to model fluid flow in porous media. You will be responsible for prototyping and commercializing workflows around Physics Informed Machine Learning using methods like autoencoders, neural operators, etc. Additionally, you will be working with commercial numerical simulators and supporting client solutions for subsurface energy storage and extraction including but not limited to new energy and carbon capture, utilization and storage (CCUS).

The successful applicant will be required to collaborate with other groups, both internal and external to the organization; hence a good team worker is required for this role. Strong software skills are required to develop high quality technical applications.

Job Requirements:

The required technical skills:

• Scientific programming
• Partial differential equations, nonlinear solution methods, statistics
• TensorFlow / PyTorch, convolution and / or neural operators, graph methods
• Ability to work in a team environment
• Ability to work to commercial deadlines
• Good communication skills

Qualifications and competencies:

Masters or above in a mathematical or scientific discipline.