TotalEnergies

About the Company

Have you ever thought of offering your skills and expertise to a multinational company?

Give your best to better energy and make the commitment with TotalEnergies. With over 500-plus professions in 130 countries, we offer high safety and environmental standards, strong ethical values, an innovation culture and wide-ranging career development. Be part of the global team whose mission is already shared by 105,000 employees : to be a world-class player in the energy transition

Listed Jobs

Company Name

TotalEnergies

Job Title

Ingénieur IA-HPC Débutant - H/F

Job Description

**Job Title:** Junior AI‑HPC Engineer – Beginner **Role Summary:** Deploy and manage hybrid AI workloads on on‑premise GPU supercomputers. Integrate Slurm with Podman containers using tools such as Slinky, Pyxis, and Scrun, and layer large‑scale orchestration via Kubernetes or OpenShift. Optimize resource utilization for AI models including LLMs, diffusion, and image‑segmentation. **Expectations:** - Complete a 12‑month in‑company training program. - Develop autonomy, rigor, and teamwork skills. - Produce clear technical documentation and communicate effectively in English. **Key Responsibilities:** 1. Install, configure, and evaluate Slurm‑Podman hybridization modes (Slinky, Pyxis, Scrun). 2. Design and test containerized AI pipelines for LLM, diffusion, and segmentation codes. 3. Implement large‑scale orchestration layers (Kubernetes/OpenShift) to schedule AI jobs. 4. Monitor, benchmark, and tune resource usage (GPU, CPU, networking). 5. Collaborate with senior engineers to document best practices and troubleshoot issues. 6. Maintain compliance with security and policy standards for HPC environments. **Required Skills:** - Strong Python programming and scripting. - Experience with container technologies (Podman/Docker). - Knowledge of HPC job schedulers, especially Slurm. - Familiarity with Kubernetes or OpenShift for workload orchestration. - Linux system administration and performance tuning. - Ability to analyze AI workloads (LLM, diffusion, segmentation). - Good written and spoken English; basic Office suite proficiency. - Self‑motivated, detail‑oriented, and able to work in a team. **Required Education & Certifications:** - Master’s degree (or equivalent) in Computer Science, IT Development, Programming, or related field. - Certifications in HPC, Linux, or container technologies are a plus but not mandatory.

Pau, France

On site

25-09-2025

Company Name

TotalEnergies

Job Title

Développeur Fullstack H/F

Job Description

Aix-en-provence, France

On site

30-09-2025

Company Name

TotalEnergies

Job Title

STAGE - Nouvelles technologies, Data et Cybersécurité - H/F

Job Description

Job Title: Intern – Emerging Technologies, Data & Cybersecurity Role Summary: Full‑time, 6‑month internship (Jan 2026) focused on legal analysis and compliance for digital innovations. Works under a professional tutor within a governance and legal team. Expectations: • 6‑month, full‑time placement beginning Jan 2026 (PPI). • Recent Master’s graduate in new‑technology law or related field. • Ability to work autonomously and collaboratively. Key Responsibilities: • Conduct strategic legal watch on AI, data, blockchain, IoT, e‑signature and related technologies. • Draft legal and pedagogical notes, applying legal‑design techniques when needed, for governance, operations, and innovation teams. • Ensure security and legal compliance of innovative projects: risk mapping, confidentiality agreements, legal notices, service/ licensing contracts (SaaS, startups), terms & conditions, charters, internal conventions. • Monitor applicable EU digital regulations and advise on implementation. Required Skills: • Knowledge of new‑technology law, digital law, personal data, contract law, and IT contracts (SaaS, licences). • Familiarity with GDPR contract clauses. • Proficient in Office 365 (Teams, SharePoint, PowerPoint, Forms) and legal databases. • Experience with design tools (e.g., Canva) and interest in legal design. • Strong written communication and professional English. • Self‑motivated, rigorous, team‑player, initiative‑driven. Required Education & Certifications: Master’s degree (MSc or equivalent) in law, specializing in new technologies, digital law, or related field.

Tour-en-sologne, France

On site

02-10-2025

Company Name

TotalEnergies

Job Title

STAGE - ML/IA Applications in Exploration - H/F

Job Description

**Job title** ML/AI Applications Intern – Exploration (H/F) **Role Summary** Internship (6 months, Jan 2025 – June 2025) with the Data Sciences Africa Exploration Hub. Engage in the design and deployment of machine‑learning solutions for petroleum exploration, focusing on well‑log data interpretation and predictive modeling. **Expectations** - Complete the internship under a senior team member’s guidance. - Contribute to a pilot application that predicts reservoir properties (temperature, pressure, etc.) from well‑log inputs. - Automate extraction of key data from PDF reports. - Integrate well‑log and seismic datasets to enhance predictive models. - Produce and document reproducible workflows and share best practices. **Key Responsibilities** - Develop and test ML algorithms on well‑log datasets. - Build scripts to parse and structure information from PDF files. - Merge well‑log and seismic data into unified datasets for modeling. - Prepare predictive models to estimate reservoir properties. - Create documentation for data pipelines, model assumptions, and results. - Collaborate with geoscientists and data scientists to refine model performance. **Required Skills** - Programming in Python (data manipulation, ML libraries). - Experience with version control (GitLab) and data‑visualization tools (Power BI). - Strong command of Microsoft Office (Excel, Word, PowerPoint). - Fundamentals of data science: statistical analysis, feature engineering, model evaluation. - Basic geological/geoscience knowledge (well‑log interpretation, reservoir properties). - Ability to extract structured data from PDFs (e.g., using PyPDF2, OCR). - Self‑directed learning, initiative, and teamwork. - Excellent written and verbal communication skills in English. **Required Education & Certifications** - Current enrollment in an engineering, master’s, or equivalent final‑year program in Data Science, Geosciences, or related field. - No additional certifications required; proficiency in English is mandatory.

Pau, France

On site

09-10-2025