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Process Simulation Software Developer

SLB
Calgary, CAN
Full-time
Entry
Onsite
Discovered 1 months ago
C++PythonAImachine learning

Full Job Posting

Roles and Responsibilities

  • Develop and improve simulation algorithms, process models, and numerical methods used for time-dependent (dynamic/transient) process systems.
  • Design, implement, test, validate, and document simulation capabilities across the full product development lifecycle.
  • Build clean, maintainable, and high-performance code primarily in C++ and Python, including supporting tools and workflows.
  • Apply numerical methods with attention to stability, accuracy, and computational performance for complex engineering simulations.
  • Collaborate with domain experts, software developers, testers, and customers to deliver reliable simulation solutions.
  • Identify and address performance, stability, or accuracy issues in simulation models, solvers, and workflows.
  • Explore and apply AI, machine learning, or data-driven techniques (where valuable) to enhance simulation workflows and productivity.

Qualifications and Experience

  • Bachelor’s, Master’s, or PhD in Chemical or Process Engineering is strongly preferred. Degrees in Applied Mathematics, Computer Science, or a closely related field will also be considered.
  • Hands-on experience developing numerical algorithms, numerical solvers, process models, simulation engines, or scientific computing applications. Experience developing underlying simulation technology is preferred over experience focused primarily on using commercial simulation software.
  • Strong programming skills in C++ and Python applied to numerical, computational, or engineering problems.
  • Strong understanding of process engineering principles, process modeling, and process simulation.
  • Understanding of numerical methods, mathematical modeling, numerical stability, and accuracy.
  • Experience with dynamic/transient simulation, pressure-flow networks, thermodynamic modeling, unit operations, or related process simulation technologies is an asset.
  • Interest or experience in AI/ML or data-driven modeling/optimization is an asset; experience applying AI/ML to engineering, simulation, or scientific computing problems is particularly valuable.
  • Strong problem-solving skills and attention to engineering accuracy, numerical stability, and computational performance. Ability to work independently and collaborate effectively within a multi-disciplinary team. Growth mindset and enthusiasm for learning new technologies.
  • Must be legally authorized to work and reside in Canada without company sponsorship.
  • Schlumberger Canada Limited is committed to workplace diversity and employment equity and supports initiatives to enhance employment opportunities for local workforces and Indigenous Persons.
  • Come join SLB and be part of one of the world's most diverse and inclusive groups of industry experts. A global technology company driving energy innovation for a balanced planet. Together, we create groundbreaking technology that unlocks access to energy while reducing environmental impact. For more information, visit slb.com .
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  • By applying for this position, I hereby expressly acknowledge and consent to the following:
  • I consent to the collection, storage, transfer and processing of personal data strictly in relation with and for the purpose of the recruitment procedure and onboarding (if applicable). I acknowledge that my data will be accessible by SLB’s talent acquisition and onboarding teams, who are located worldwide.
  • I further acknowledge that I have the right to access to such data and to correct any errors, which may be contained therein. I understand this can be done by contacting Schlumberger Canada Limited’s (“SLB Canada”) privacy officer. The SLB Canada privacy officer may be contacted by calling 403-509-4000.
  • I agree that any misrepresentation of information in the application process, or during onboarding, if applicable (including but not limited to the this application, resume, transcripts, and Driver's Abstract or during the course of an interview) is an act of dishonesty and may be grounds for halting the application and/or onboarding process or for termination with cause (if applicable).
  • I understand that SLB may disclose my personal information to third party providers as maybe be required to carry out the application and onboarding (where applicable) process. I further agree that SLB may obtain personal information about me from these third parties, including but not limited to, employment history, academic training including verification of any diplomas, degrees or professional accreditations, driver’s abstract and records of criminal convictions for which a pardon/record suspension was not granted in accordance with the Criminal Records Act, RSC 1985, c C47.
  • I understand that the retention period for the data contained in my application form is 3 years from the date of application.

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