Computational Scientist
Rio de Janeiro, Brazil
Overview
Under general supervision, provides technical assistance and analysis during planning and execution of Product Service Line (PSL) operations for customers, maintaining the highest levels of professionalism, safety and service quality. Works on value add projects through collaboration with both internal and external customers based on technical knowledge and developments to deliver solutions to meet their requirements and Halliburton's commercial expectations, considering both the price of the solution to the customer as well as the total cost to Halliburton to deliver it. Applies engineering, mechanical and geological principles to articulate more complex data interpretations to customers from proprietary software and collaborates with clients through the entire well cycle from drilling to completion scenarios independently. Actively completes training and competency assignments to pursue growth and development within the PSL career path and Halliburton organization. Fosters teamwork among all personnel involved in the performance of work activities, and supports the development of less experienced operators and/or technical personnel. Shares learning and advertises successes by writing, publishing and presenting case histories and industry papers (for example, Society of Petroleum Engineers-SPE).
- Full Time
- Level: Experienced
- Travel: Depends upon area
-
Success Profile
What makes an Computational Scientist successful at Halliburton? Do you have what it takes to be Recognized in Red? Check out the top traits we’re looking for and see if you qualify.
- Collaborative
- Problem-solver
- Communicator
- Team player
- Detail-oriented
- Safety-oriented
Our Culture
While acting as a driving force for innovation, our people, who are the heart of Halliburton, have earned a global reputation for inspiring excellence by ensuring access to affordable energy and a sustainable energy future –again and again. We define this by inspiring leadership, technical mastery and an unmatched ability to create incredible value while working together – at home and on distant horizons.
Safety comes first at Halliburton. The kind of people we need have a sense of integrity and appreciate a safety culture.
Benefits
-
Healthcare
Benefit from our healthcare plans (offered in most areas).
-
Vacation
Plan vacations or take a much-needed day off with our generous vacation plans.
-
Retirement
Invest in your future through our workplace retirement plan.
-
Development
Take advantage of continuous lifelong learning with formal development programs and more, available to all employees.
-
Compensation
Get compensated for your experience with a competitive and desirable salary.
-
Additional Benefits
Take advatange of additional benefits, including Life Insurance, Business Travel Protection, Access to Benefits Consultants, and our Global EAP program.
Computational Scientist
Rio de Janeiro, Rio de Janeiro, BrazilJob Description
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.
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.
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.
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.
