Solution Architect – Computational Chemistry And Material Science
Topjobstoday
Ai/ml frameworks expertise
Python programming skills
Customer-facing communication skills
Join our team as a Solutions Architect in EMEA, collaborating with Consumer-Packaged Goods and Material Science customers focusing on AI for computational chemistry and material science
Job Summary
Join our team as a Solutions Architect in EMEA, collaborating with Consumer-Packaged Goods and Material Science customers focusing on AI for computational chemistry and material science.
You will guide customers through AI adoption from requirements gathering to deployment and optimization while collaborating with business teams and technology partners.
NVIDIA fosters a diverse work environment and values innovation, continuous learning, and empowering top organizations worldwide.
Matching Summary
Join our team as a Solutions Architect in EMEA, collaborating with Consumer-Packaged Goods and Material Science customers focusing on AI for computational chemistry and material science.
Skills & Requirements
Must-have
AI/ML frameworks expertise
Python programming skills
Customer-facing communication skills
Technical advisory for AI adoption
Experience with computational chemistry AI
Time-management and organizational skills
Nice-to-have
CUDA and PyTorch hands-on experience
Machine Learning Interatomic Potential models
Knowledge of MD and DFT simulations
Graph Neural Networks for property prediction
Experience in CSP industry
Thought leadership through publications
Key Requirements
MS or PhD in related fields or equivalent experience
5+ years experience in AI/ML for chemistry or material sciences
Proven experience with Python and AI/ML frameworks
Strong problem-solving and customer communication skills