Lead AI-Driven Battery Materials Platform Engineer

SES AI; Boston (MA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Highly competitive salary

Comprehensive health coverage

Attractive equity/stock options

Collaborative environment

Job summary

A leader in energy transition technologies located in Boston is seeking an experienced Engineer to lead the development of an AI-driven molecular simulation and materials informatics platform. This pivotal role involves bridging advanced AI models with computational chemistry and overseeing the design of scientific computing platforms. Candidates should have a PhD in a relevant field and experience in computational materials science, with a strong background in C++ and AI/ML for materials. This is a full-time position offering significant growth opportunities.

Qualifications

• 1+ years of experience in computational materials science, including molecular dynamics.
• Proven track record building production‑grade scientific software in C++.
• Experience with AI/ML for materials informatics.

Responsibilities

• Lead the design of a scientific computing platform integrating AI/ML models.
• Drive development and deployment of AI/ML models for materials informatics.
• Work closely with battery scientists to map R&D needs into platform features.

Skills

C++ and high‑performance/scientific computing

HPC systems and parallel computing

Molecular dynamics simulation

API engineering

Battery informatics

Hybrid expertise in scientific computing and software engineering

Education

PhD in Materials Science, Computational Physics, or related field

Tools

High-Performance Computing (HPC)

Machine Learning frameworks (e.g., PyTorch, TensorFlow)

Job description

A leader in energy transition technologies located in Boston is seeking an experienced Engineer to lead the development of an AI-driven molecular simulation and materials informatics platform. This pivotal role involves bridging advanced AI models with computational chemistry and overseeing the design of scientific computing platforms. Candidates should have a PhD in a relevant field and experience in computational materials science, with a strong background in C++ and AI/ML for materials. This is a full-time position offering significant growth opportunities.