Product Engineer, AI Battery Simulation

Product Engineer needed to architect and lead AI-driven molecular simulation and materials informatics platform for next-generation battery materials.

Requirements

• PhD in Materials Science, Computational Physics, Computational Chemistry, or a closely related field.
• 1+ years (post-graduate) of experience in computational materials science, including molecular dynamics and/or phase-field simulation.
• Proven track record building production-grade scientific software in C++ and/or similar systems languages, ideally in an HPC context.
• Hands-on experience with AI/ML for materials informatics, such as ML force fields, surrogate models, or automated ML workflows.
• Demonstrated experience designing and implementing APIs, services, and platforms used by other engineers or scientists.
• Strong background in algorithm development related to materials behavior (e.g., dendrite growth, transport, microstructure evolution).
• Experience collaborating closely with experimentalists and domain scientists and translating their needs into robust engineering solutions.

Benefits

• Highly competitive salary
• Robust benefits
• Comprehensive health coverage
• Attractive equity/stock options in a NYSE-listed company