Research Engineer: Accelerated Materials Discovery

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

Job summary

Bosch USA seeks a Research Engineer to perform applied research in computational materials science at the atomistic level and aid the development of next-generation Bosch products. You will use classical simulations and AI tools to move from concept to quantitative models aligned with engineering cycles.

You will engage with experimental efforts and external partners, share results in reports and publications, and help translate insights into robust materials solutions for sensors, energy, and

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 with DFT, MD, Monte Carlo, phase-field, multiscale modeling, and HPC.
• Proficiency in programming and the scientific Python ecosystem.
• Documented experience applying AI/ML techniques to scientific problems (active learning, Bayesian optimization, RL, automated workflows, autonomous lab systems).
• Demonstrated ability to conduct independent research and develop working prototypes.
• Evidence of research impact through publications, patents, or open-source contributions.
• Strong written and verbal communication across technical disciplines.

Responsibilities

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

Skills

Atomistic simulation experience

AI/machine learning in science

Python scientific stack

Independent researcher

Education

PhD in materials science or related field

Tools

Python

HPC

AI/ML tooling

Job description

Bosch USA seeks a Research Engineer to perform applied research in computational materials science at the atomistic level and aid the development of next-generation Bosch products. You will use classical simulations and AI tools to move from concept to quantitative models aligned with engineering cycles.

You will engage with experimental efforts and external partners, share results in reports and publications, and help translate insights into robust materials solutions for sensors, energy, and