HSE Enabling Tech Intern

Job PurposeTechnipFMC'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/weekApplicants 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 timeTexas state resident; located in the Greater Houston AreaMust pass pre-employment drug screen and background checkEnrolled 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 prioritiesSkillsBeing a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes equal opportunities and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matter and we encourage you to add to our culture.
TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain.
Learn more about TechnipFMC and find other open positions by visiting our Career Page.
Follow us on LinkedIn for company updatesDate posted:Feb 24, 2026Requisition number:16905