CGI - Lead Computational Scientist - HPC

4 weeks ago


Bangalore, India CGI Full time

Job description :

Qualifying Criteria :

Seasoned Computational Scientist or Geoscientist with C++ , High performance computing, and Numerical Computation with focus on Finite Element based codes in applied Physics/Material Science/Fluids Mechanics,

Notice period/Joining duration : Immediately/Less than 60 Days.

Location preference : Willing to work out of Bangalore in a hybrid model.

Mandatory skills :

- Numerical Computation with focus on Finite Element based codes in applied Physics/Material Science/Fluids Mechanics, High performance computing

- Strong C++ skills with experience in version control git, Cake builds, CPU architecture, writing Shared memory distributed computing codes with MPI/OpenMPI, using 3rd party scientific tools like PETSc, HYPRE, boost, Qt.

- Strong skills on HPC(High performance computing) workflows and technologies involved.

- Working competence on Linux

Good To Have :

- Cloud Computing: esp AWS; cloud solution for HPC, cloud storage

- Containerization: Build Docker and Singularity containers for HPC applications

- Packaging tools: Linux RPM tools, Nuget.

Job description

- Experienced Computational Scientist OR Geoscientist with 6+ (Senior) years of experience in Scientific Programming for Engineering and/or Physics

- Extensive Scientific Software development experience using C/C++ Must possess two of the following competencies :

1. Development of Finite Element (Galerkin Method) code,

2. Development of scientific application for Shared Memory Parallel (HPC) systems on Linux (Unix) environment and/or

3. Development of numerical models/solution for geoscientific applications


4. Strong knowledge of computer science fundamentals and how to apply them in a large-scale distributed system


5. Strong understanding and practice of agile software development life cycle processes, including planning, design, software testing and quality control.

- Demonstrate the ability to work and communicate effectively with various disciplines, including non-technical management.

- Master's degree or PhD in Engineering, Physics, or Computer Science with strong technical and computational programming experience.

- In-depth experience in the development of Finite Element (Galerkin Method) code for solving non-linear Partial Differential Equations. Finite Difference and Finite Volume is a plus.

- Extensive knowledge of Mathematical Methods for Scientific Computing, including Heat Transfer, Hydrogeology, Thermodynamics, and Inversion Techniques


- Experienced working in virtual (remote) development teams using Agile development process (Scrum)


- Understanding and experience of Basin Analysis (Petroleum Systems Analysis) is a huge plus

(ref:hirist.tech)
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