at ExxonMobil
CommoditiesPosted 7 days ago
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**role** Computational Fluid Dynamics Engineer. **designs**, **builds** computational modeling systems, **optimizes** algorithms. **Responsibilities** include formulating computational models based on business needs, **developing** and **testing** modeling workflows, **implementing** software engineering best practices. **Commands** Python, C++, **understands** data structures and libraries. **Analyzes** multi-scale and multi-physics models, **applies** multi-fidelity AI surrogates. **Collaborates** with computational scientists to develop new algorithms.
- Compensation
- Not specified
- City
- Houston
- Country
- United States
Currency: Not specified
Full Job Description
Job Group Capability
Data Science, Digital & Analytics
Job Group
Computational & Data Sciences
Job Role Description
Computational Engineer - Advanced is skilled in designing and building computational modeling systems and implementing / optimizing computational algorithms for different computer architectures. Drives the productization of research-grade computational models into commercial tools and business workflows
Job Role Responsibilities
Formulates computational models based on business needs and understands model assumptions, verification, and validation
Designs, develops, tests, and debugs modeling workflows and products independently, integrating with vendor solutions
Commands relevant programming languages (e.g. Python, C++) and applies softwareengineering best practices
Collaborates with computational scientists to develop new algorithms
Understands data structures, algorithms, and libraries commonly used in computational modeling solutions
Refactors computational code and deploys it into CI / CD pipelines, including automated tests for model verification and validation
Employs versioning of computational models
Designs, develops, tests, and debugs modeling workflows and products independently, integrating with vendor solutions
Commands relevant programming languages (e.g. Python, C++) and applies softwareengineering best practices
Collaborates with computational scientists to develop new algorithms
Understands data structures, algorithms, and libraries commonly used in computational modeling solutions
Refactors computational code and deploys it into CI / CD pipelines, including automated tests for model verification and validation
Employs versioning of computational models
Functional Skills
Continuous Mathematical Optimization
Multi scale or Multi physics modeling
High Performance Scientific Computing
Multi-fidelity AI Surrogates
Mathematical Framing of Business Problems
