As one of the leading automotive suppliers worldwide, we develop solutions to fulfill people´s dreams of mobility on a daily basis. Driver safety, sustainability and industrialization of future technology are just some of our key fields where we already make a meaningful difference in the everyday life of people. Knowing our technology helps to make the world a better and safer place is what drives us.

Key Targets of the Job:

• Develop and optimize computational workflows integrating quantum simulations, molecular descriptors, and predictive machine learning models
• Apply advanced cheminformatics and data-driven approaches for virtual screening, property prediction, and reaction mechanism analysis
• Design and implement automated pipelines for high-throughput quantum chemical calculations and machine learning model training
• Model and simulate complex chemical reaction mechanisms across diverse environments using quantum mechanical and ML-assisted approaches
• Analyze simulation results to extract molecular-level insights and support experimental design or product development
• Conduct comprehensive literature reviews and generate high-quality technical documentation, reports, and presentations
• Collaborate effectively within an interdisciplinary team of computational scientists, chemists, physicists, and materials engineers
• Support external collaborations, joint research projects, and technology scouting initiatives
• Demonstrate a willingness to travel occasionally for project meetings, conferences, and collaborative activities

• PhD in quantum chemistry, computational chemistry, cheminformatics, materials science, physics, or a closely related field (mandatory academic background)
• Proven hands-on experience with quantum chemistry methods (e.g., DFT, ab initio) and related software (e.g., Gaussian, ORCA, VASP, CP2K, DMol³)
• Strong background in cheminformatics, including experience with molecular representations and libraries such as RDKit and Open Babel
• Demonstrated ability to incorporate machine learning (e.g., scikit-learn, PyTorch, TensorFlow) into computational chemistry workflows 
• Experience in modeling reaction mechanisms, energy landscapes, or catalytic processes at the atomic or molecular level - good to have 
• Proficiency in Python (preferred), along with experience using scientific computing libraries such as NumPy, pandas, and ASE
• Familiarity with molecular dynamics tools (e.g., GROMACS, LAMMPS) is a plus
• Postdoctoral or several years of industrial experience in the field is highly preferred
• Excellent written and spoken English communication skills, with the ability to articulate complex technical concepts to diverse audiences
• Strong analytical thinking, creativity, and a proactive, solution-oriented approach to problem solving
• Ability to work independently and collaboratively within cross-functional and interdisciplinary teams
• Portuguese languages skills  written and spoken is a plus

▪ Integration in a challenging and international work environment, featured by the existence of state-of-the-art technologies
▪ Local employment contract with attractive remuneration package and benefits
▪ Continuous professional training and excellent possibilities of personal and professional development

Ready to drive with Continental? Take the first step and fill in the online application.