INTERNSHIP DETAILS

HSE Enabling Tech Intern

CompanyTechnipFMC
LocationHouston
Work ModeOn Site
PostedMarch 25, 2026
Internship Information
Core Responsibilities
The intern will develop and refine machine-learning models for real-time detection and response to HSE events, integrating these AI models with embedded hardware like Nvidia Jetson devices for edge inference. Responsibilities also include collecting and analyzing sensor data, building data pipelines, and translating prototypes into deployable, standards-compliant solutions.
Internship Type
full time
Company Size
38169
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
TechnipFMC is a leading technology provider to the traditional and new energies industry, delivering fully integrated projects, products, and services. With our proprietary technologies and comprehensive solutions, we are transforming our clients’ project economics, helping them unlock new possibilities to develop energy resources while reducing carbon intensity and supporting their energy transition ambitions. Organized in two business segments — Subsea and Surface Technologies — we will continue to advance the industry with our pioneering integrated ecosystems (such as iEPCIⓇ, iFEED™ and iCompleteⓇ), technology leadership and digital innovation. Each of our approximately 20,000 employees is driven by a commitment to our clients’ success, and a culture of strong execution, purposeful innovation, and challenging industry conventions. To learn more about us and how we are enhancing the performance of the world’s energy industry, go to TechnipFMC.com.
About the Role

Job Purpose

TechnipFMC’s Health, Safety & Environment (HSE) and Security Department is seeking a motivated and technically‑savvy intern to join our Physical-AI Laboratory. In this role, you will collaborate with multidisciplinary teams to design, implement, and validate AI‑driven solutions that enhance the safety and operational efficiency of complex industrial systems. The internship offers hands‑on experience in cutting‑edge research and development, exposure to real‑world engineering challenges, and the opportunity to contribute directly to projects that impact the safety of offshore and onshore operations.

Job Description

  • Develop and refine machine‑learning models that detect, monitor, and respond to HSE events in real time.
  • Integrate AI models with embedded hardware, specifically Nvidia Jetson series devices, to enable real‑time inference at-the-edge.
  • Collect, preprocess, and analyze sensor data from HSE monitoring systems; build data pipelines and feature extraction workflows.
  • Collaborate with engineers to translate research prototypes into deployable solutions, ensuring compliance with industry safety standards.
  • Document methodologies, results, and best practices for internal knowledge sharing and external publication.

You are meant for this job if:

  • AI Fundamentals: Solid grasp of supervised/unsupervised learning, neural network architectures, model training and evaluation, and hyper‑parameter tuning. Familiarity with transfer learning and edge‑AI deployment is a plus.
  • Embedded Systems & Hardware Integration: Practical experience with Nvidia Jetson TX/NX/AGX devices, including JetPack SDK, CUDA, and Jetson‑specific libraries (e.g., TensorRT). Understanding of hardware‑software co‑design principles and real‑time constraints.
  • Possess the eligibility to work 40 hours/week
  • Applicants must be authorized to work for any employer in the U.S. without restriction.  For this position we are not sponsoring or taking over sponsorship of an employment visa at this time
  • Texas state resident; located in the Greater Houston Area
  • Must pass pre-employment drug screen and background check
  • Enrolled in or recently completed a bachelor’s, master’s, or Ph.D. program in Computer Science, Electrical Engineering, Mechatronics, or a related field.
  • Prior internship or project experience involving AI deployment on embedded platforms, preferably within industrial or safety‑critical domains.
  • Strong analytical mindset, excellent problem‑solving skills, and a collaborative attitude.
  • Excellent written and verbal communication skills in English; additional languages are a plus (Portuguese).
  • Coding Proficiency: Demonstrated experience in Python (NumPy, Pandas, scikit‑learn, PyTorch/TensorFlow) Ability to write clean, modular code and use version control (Git).

 

WORK ENVIRONMENT:

Office, Laboratory and Field (Workshops) environment. Required physical presence in the local office (Lab). Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

 

PHYSICAL DEMANDS: 

80-90% of time spent on a computer. 10% - 20% could be for travel to participate in Company offered co-op functions or local office visit.  Fast-paced environment with multiple priorities

Skills

Key Skills
AI FundamentalsMachine-Learning ModelsEmbedded Hardware IntegrationNvidia JetsonJetPack SDKCUDATensorRTData PipelinesFeature ExtractionPythonPyTorchTensorFlowGitAnalytical MindsetProblem-SolvingCommunication Skills
Categories
EngineeringScience & ResearchSoftwareData & AnalyticsSecurity & Safety