Computational Scientist

Halliburton; Rio de Janeiro; Híbrido; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A global energy services company based in Rio de Janeiro is seeking an experienced Computational Scientist. The role involves optimizing and porting scientific codes to hybrid computing clusters, ideally suited for candidates with a passion for computational science and expertise in modern C++. Exceptional communication skills in English and Portuguese are required for this hybrid position.

Serviços

Competitive compensation

Qualificações

• Proven experience in porting legacy serial or MPI/OpenMP code to GPUs.
• Familiarity with computational mathematics including linear algebra and calculus.
• Knowledge of fluid flow physics.

Responsabilidades

• Join a multidisciplinary team to deliver high-end computational technologies.
• Port complex scientific programming codes to parallel hybrid clusters.
• Optimize and improve code speed-up.

Conhecimentos

Modern C++ knowledge

GPGPU frameworks (CUDA, OpenCL)

Distributed and parallel computing

Device-level optimization

Windows and Linux environments

Python and Matlab experience

MPI programming

Formação académica

M.Sc. in Computational Science or Engineering

Ph.D. in Computational Science

Ferramentas

CMake

Makefiles

Descrição da oferta de emprego

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Duties

We seek a talented Computational Scientist with an M.Sc. in Computational Science or Engineering and academic and/or professional experience. A Ph.D. degree with a strong background in Computational Science is a plus. The ideal candidate for this position is an expert in porting complex scientific programming codes to parallel hybrid (CPU+GPU) clusters. You must have a passion for optimizing and improving code speed-up. Excellent problem-solving ability and good oral and written communication skills in both English and Portuguese are required.

You will join a multidisciplinary and diverse team of scientists and engineers committed to delivering high-end computational technologies and tools for the O&G and broader Energy industry.

Qualifications

• Expert knowledge of modern C++ (e.g., C++11, C++14, C++17).
• Expert knowledge of GPGPU frameworks/software layers such as CUDA and OpenCL.
• Expert knowledge of distributed and parallel computing in hybrid (CPU and GPU) clusters.
• Good knowledge of device-level optimization and GPU architecture.
• Good knowledge of modern C++ design patterns and software engineering concepts (e.g., template metaprogramming, generic programming, etc.).
• Ability to work in both Windows and Linux environments.
• Some experience with programming/scripting languages such as Python and Matlab.
• Some experience with MPI programming.

Knowledge, Skills, and Abilities

• Proven experience porting legacy serial or MPI/OpenMP code to GPUs.
• Knowledge of scientific computing (e.g., linear and nonlinear solvers, numerical methods, etc.).
• Familiarity with computational mathematics (e.g., linear algebra, calculus, matrix decompositions, etc.).

• Knowledge of PDE discretization methods, such as Finite Element, Finite Volume, or Lattice Boltzmann.
• Familiarity with open-source scientific computing libraries (e.g., HYPRE, BOOST++, PETSC, DUNE, LAPACK, etc.).
• Familiarity with CMake, Makefiles, and other tools for multi-platform code compilation.
• Knowledge of fluid flow physics.

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

Rua Paulo Emidio Barbosa 485 Q,Rio de Janeiro,Rio de Janeiro,291941, Brazil

Job Details

Requisition Number: 203059
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Wireline and Perforating
Full Time / Part Time: Full-time
Availability: Hybrid position, two times a week at the office.

Additional Locations for this position:

Compensation Information
Compensation is competitive and commensurate with experience.