Research Engineer, Computational Materials for Mobility

Bosch; Watertown (MA); On-site; USD 140,000 - 160,000; Full time

Job summary

Bosch Corporate Research is seeking a Research Engineer to perform applied atomistic-scale materials science and contribute to next-generation Bosch products. You will use classical simulations and emerging AI techniques to move from concept to quantitative modeling in alignment with engineering cycles.

Engagement with experimental efforts and cross-disciplinary collaboration with Bosch teams, national labs, and academia will be essential.

Qualifications

• PhD in materials science, chemistry, physics, chemical engineering, mechanical engineering, biophysics or closely related field.
• Demonstrated experience in atomistic simulation and computational materials science across DFT, MD, Monte Carlo, phase-field, multiscale modeling and HPC environments.
• Proficiency in programming and the scientific Python ecosystem or equivalent tools.
• Documented experience applying AI/ML techniques to scientific problems (active learning, Bayesian optimization, RL, automated workflows, autonomous lab systems).
• Strong ability to conduct independent research, formulate questions, analyze data, and develop prototypes or PoCs.
• Evidence of research impact via peer-reviewed publications, patents, or open-source contributions.
• Excellent written and verbal communication across technical disciplines.

Responsibilities

• Conduct applied research in materials science at the atomistic level.
• Apply conventional atomistic methods and AI tools to derive insights on materials behavior and optimization.
• Identify and collaborate with external partners and colleagues.
• Communicate results via internal presentations, reports, publications, and IP disclosures.
• Contribute to an interdisciplinary, collaborative research environment across materials science, physics, chemistry, AI, and software.
• Create an AI-based framework enabling Bosch engineers to apply atomistic simulation effectively.

Skills

Atomistic simulation

AI/ML in science

Python ecosystem

Independent research

Communication skills

High-performance computing

Education

PhD in materials science or related field

Tools

Python (SciPy stack)

Job description

Bosch Corporate Research is seeking a Research Engineer to perform applied atomistic-scale materials science and contribute to next-generation Bosch products. You will use classical simulations and emerging AI techniques to move from concept to quantitative modeling in alignment with engineering cycles.

Engagement with experimental efforts and cross-disciplinary collaboration with Bosch teams, national labs, and academia will be essential.