Company: Baker Hughes
Skills: Electrical Engineering
Experience: 2 + Years
Education: High School/Secondary
Employment Type: Full Time Salaried Employee
Location: Houston, Texas, United States

In order to apply for this position, applicants MUST meet the following criteria. If your resume does not match these criteria, you will not be able to apply for this position.

About Us:

Baker Hughes, a GE company (NYSE:BHGE) is the world's first and only fullstream provider of integrated oilfield products, services and digital solutions. Drawing on a storied heritage of invention, BHGE harnesses the passion and experience of its people to enhance productivity across the oil and gas value chain.

BHGE helps its customers acquire, transport and refine hydrocarbons more efficiently, productively and safely, with a smaller environmental footprint and at lower cost per barrel. Backed by the digital industrial strength of GE, the company deploys minds, machines and the cloud to break down silos and reduce waste and risk, applying breakthroughs from other industries to advance its own.

With operations in over 120 countries, the company's global scale, local know-how and commitment to service infuse over a century of experience with the spirit of a startup - inventing smarter ways to bring energy to the world.

Follow Baker Hughes, a GE company on Twitter @BHGECo, or visit us at

Role Summary:

Our team is looking for an experienced Computational Electrical Engineer/Scientist to support a diverse range of Wireline logging/imaging projects. The ideal candidate would have extensive experience with advanced signal processing and image reconstruction techniques, using methods such as compressed sensing, machine learning, and/or model-based reconstruction. Experience with multi-modality imaging and/or logging is preferred. Candidate should be capable of developing novel technologies, potentially translated from other industries, in a fast-paced team-based setting. A background in medical imaging and/or oil and gas logging/imaging is preferred, with experience in nuclear magnetic resonance (NMR) spectroscopy/magnetic resonance imaging (MRI), acoustic/ultrasound, and/or nuclear modalities.

Essential Responsibilities:
  • Leverage expertise in advanced signal processing to develop enhanced multi-physics acquisition and reconstruction/inversion strategies
  • Contribute to team-based project assignments through engineering and computational modeling/analysis
  • Effectively communicate technical results to a multi-disciplinary audience
  • Operates with some latitude in making autonomous decisions
  • Provides work direction and mentoring for less experienced engineers and technicians
  • Sphere of influence includes regional operations and customers in addition to engineering groups, support organizations, and vendors

  • Ph.D. in Electrical Engineering/Computer Science and 2+ years of experience, or a M.S. degree in a related field with 4+ years of experience
  • Expertise in compressed sensing/machine learning/advanced signal processing
  • Expert-level programming capabilities (Matlab, Python, etc.)
  • Track record of quality publications in related peer-reviewed journals
  • Ability to build peer relationships as well as work independently
  • Excellent problem solving and project management skills
  • Good organizing, planning, and presentation skills
  • Must be action oriented, ethical in value, and customer focused with a drive for results
  • Ability to manage time and thrive in a fast-paced environment

    Desired Characteristics:
  • Fundamental knowledge of imaging/logging modalities such as nuclear, acoustic, and magnetic resonance
  • Experience in multi-modal imaging/logging
  • Parallel computing expertise
  • Multi-physics modeling experience with COMSOL, XFDTD, and/or ANSYS
  • Experience developing Bloch simulators
  • Electrical engineering hardware familiarity, including RF design
  • Systems engineering experience


Houston, TX

Baker Hughes, a GE company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. Learn more