Avenida Presidente Wilson
231
Rio de Janeiro, Brazil

TGS provides scientific data and intelligence to the global energy sector, enabling energy for all by unlocking vital, data‑driven solutions and knowledge. Through an extensive and diverse energy data library, advanced analytics, cloud‑based applications, and specialized services, we work in a way that is Passionate, Results‑Driven, Collaborative, and Responsible. 

As the R&D Manager, you will lead a multidisciplinary team of Research Geophysicists, Data Scientists, and Scientific Software Developers within our Rio de Janeiro R&D hub. You will serve as the strategic bridge between pure scientific research and scalable production software, overseeing the development of next-generation seismic processing and machine learning (ML) solutions. Your primary objective is to accelerate R&D milestones while fostering a culture of technical excellence, professional maturity, and interdisciplinary collaboration.

Responsibilities

• Team Leadership: Direct and mentor a diverse team, including direct reports under the Research and Technology and Data Science departments.
• Strategic Translation: Act as the primary "translator" between geophysical theory, machine learning experimentation, and production-grade software engineering. 
• Project Oversight: Manage the end-to-end lifecycle of transforming experimental prototypes into robust, high-quality software solutions. 
• Workflow Optimization: Drive the integration of AI/ML into physics-based processes and identify bottlenecks in traditional seismic processing sequences. 
• Standard Advocacy: Champion software engineering best practices (clean code, CI/CD, modular architecture) and experimental rigor across all research activities. 
• Resource Management: Balance technical debt with the need to meet aggressive research milestones, ensuring code health and reproducibility.
• External Representation: Represent the team’s innovations in external research activities, publications, and technical forums. 

Key Competencies

• Interdisciplinary Mastery: Deep understanding of the intersection between Scientific Machine Learning, Seismic Theory, and Software Craftsmanship. 
• Operational Maturity: Proven ability to manage complex technical problems and advocate for long-term code health in a high-pressure R&D environment. 
• Collaboration & Communication: Exceptional ability to communicate complex concepts across different domains (e.g., explaining Wave Physics to Software Engineers)
• Automation Mindset: Commitment to automating repetitive data processing and manual QC workflows to streamline seismic and subsurface data pipelines.

Qualifications

• Education: PhD in Geophysics, Physics, Machine Learning, Computer Science, or a related quantitative field.
• Technical Experience:
  • • Significant experience in Python and its scientific stack (NumPy, SciPy, PyTorch).
    • Familiarity with High-Performance Computing (HPC), GPU-optimized kernels (CUDA), or C++ for performance-critical applications.
    • Experience with Seismic Processing sequences, signal processing, or wave physics.
• Domain Expertise: Demonstrated expertise and publications in modern ML architectures (e.g., ViT/U-Nets) and/or advanced geophysical inversion theory.
• Infrastructure Knowledge: Exposure to pipeline orchestration (Airflow/Prefect), containerization (Docker), and large-scale scientific data formats (Zarr).

If you meet the qualifications and are passionate contributing to our team, we encourage you to submit your application by 08/28/2026.