Research Engineer – Accelerated Materials Discovery

Location: Watertown, Massachusetts, USA

Annual U.S. base salary: $140,000–$160,000

Company

hirify.global is a global technology and engineering company developing products and services across mobility, consumer goods, industrial technology, energy, and building technology.

What you will do

• Conduct applied computational materials research using atomistic simulations grounded in physical and chemical principles.
• Apply classical simulation methods and AI techniques to assess, select, and optimize materials.
• Develop and validate models that support engineering development cycles and experimental campaigns.
• Build an AI-based framework enabling hirify.global engineers to apply atomistic simulation to complex industrial materials.
• Collaborate with experimental teams, external researchers, industry partners, national laboratories, and academic institutions.
• Communicate findings through presentations, technical reports, publications, conferences, patents, and intellectual-property disclosures.

Requirements

• PhD in materials science, chemistry, physics, chemical engineering, mechanical engineering, biophysics, or a closely related field.
• Hands-on experience with atomistic simulation and computational materials science, including density functional theory, molecular dynamics, Monte Carlo simulation, phase-field modeling, multiscale modeling, or high-performance computing.
• Programming and software engineering proficiency, including the scientific Python ecosystem or equivalent computational tools.
• Experience applying AI or machine learning to scientific problems, such as active learning, Bayesian optimization, reinforcement learning, automated workflows, or autonomous laboratory systems.
• Ability to conduct independent research, analyze complex data, and develop working prototypes or proof-of-concept solutions.
• Research impact demonstrated through publications, patents, open-source software, or equivalent accomplishments, together with strong cross-disciplinary communication skills.

Nice to have

• Experience validating and integrating atomistic simulations with experimental data and using scale-bridging techniques.
• A broad scientific network across academia, national laboratories, and industry.
• Experience with industry-academic partnerships or multidisciplinary research consortia.

Culture & Benefits

• Interdisciplinary research environment spanning materials science, physics, chemistry, AI, simulation, software, and experimental automation.
• Opportunities to contribute to technologies in mobility, consumer goods, industrial technology, energy, and building technology.
• Research collaboration with hirify.global teams and external academic, industry, and national-laboratory partners.
• Confidential handling of applicant information under EEO guidelines.