General Motors CAE ENGINEER - INF0020103 in Austin, Texas
PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN THE UNITED STATES NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP.
Austin, Texas and Warren, Michigan
About the General Motors CAE Team:
This is a unique opportunity to be part of a new multi-disciplined team of experienced individuals in a start-up environment. The team will be driving the solution design, development, and deployment of advanced High Performance Computer (HPC) Engineering modeling and simulation solutions. This is in support of the company’s Computer Aided Engineering (CAE) Application teams that perform end-to-end simulations from vehicle design through vehicle dynamics.
About the role:
You will directly contribute to the CAE/HPC modeling and simulation strategy through integration across the HPC environment, leveraging open source development, and delivery of project-based solutions using both waterfall and agile methodologies. Initial application development will focus on physics-based modeling, imposing computational fluid dynamics, and facilitating the utilization of cluster-based and container-based modeling and simulation packages in HPC environments. Scope will grow to include Thermal, Aero, and Structural analysis.
You will also provide insight into modeling and simulation techniques as it applies to HPC open source development focused on CAE analysis methods. additionally, you’ll have the opportunity to design and lead iterative development and learning cycles in these areas, and ultimately produce new and creative CAE solutions that will become part of the operating fabric of the global enterprise. The scope of the HPC landscape will include:
- CAE applications running on the HPC environment
- Open source development and integration
- HPC job optimization
- Agent-based modeling
- Cross platform integration
Candidates must be collaborative team players who will work closely with other HPC professionals (Scientists, Developers, and Engineers). The role will require expertise and application of engineering principles, concepts, theory, and practice with the ability to organize, plan, schedule, conduct, and coordinate workloads to meet established deadlines and milestones with some experience in project leadership. The CAE Engineer should have 8+ years applied experience across a broad set of potential Engineering roles.
- Bachelor’s degree in Engineering, Mathematics, Computer Science, or related quantitative areas
- 8+ years in the business environment
- Excellent knowledge and understanding of heat transfer, fluid dynamics, thermodynamics, and computational fluid dynamics
- Experience with machine learning, parallel processing, computational geometry, and finite difference methods
- Familiarity with CAE software tools such as: Adapco Star CCM+, Exa PowerFlow, Ansys Fluent, PumpLinx, and Converge RADTHERM
- Familiarity with Open Source platforms such as OpenFOAM as it relates to HPC
- Understanding of data workflow and analytics software (R, Matlab)
- General background in partial differential equations, optimization, and/or statistics
- Master’s Degree is preferred along with published technical work
Why General Motors?
At GM, we’ve charged ourselves with one mission: to design, build and sell the world’s best vehicles. And to achieve our goals, we’re currently undergoing one of the largest information technology transformations in the history of the automotive industry.
GM IT is a leader in cutting edge technologies such as Mobility, Telematics, Mission-Critical Business Systems, Supercomputing, Vehicle Engineering, and Real-time Computing. We offer challenging growth oriented positions for passionate professionals looking to get in on the ground-floor of a growing “Fortune 5” firm that is re-inventing IT with a laser focus on innovation, speed, and business value.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status.