Senior Application Engineer

Overview

• NVIDIA is seeking Senior Application Engineer for technical collaboration on Materials and Chemical Discovery using AI.
• Sr Application Engineers are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and AI Models.
• An ideal candidate is someone who is entrepreneurial, self-motivated, creative and passionate about bringing the latest techniques to customers who want to accelerate the discovery of novel materials using Predictive AI or Generative AI.
• Discovery of new materials and chemicals is one of the core workloads across a broad range of customers including supercomputing, higher education, manufacturing, semiconductors, agriculture, etc.
• Application Engineer, you will be part of the team comprising Product Managers and Strategic Alliance Partners and working with customers.
• What you will be doing: Work directly with developers and researchers who are building, fine-tuning or optimizing AI models for Chemistry and Material discovery.
• Collaborate with publishers of open-source applications, datasets, frameworks used for AI Driven Chemical and Materials discovery and display their ability to use NVIDIA ALCHEMI.
• Profile, benchmark and suggest optimization strategies to developers building AI models and Agentic AI workflows for discovering novel materials and formulations.
• Present at workshops as the domain expert.
• What we need to see: Degree in Chemistry, Material Science or related field (Ph.D.
• or Masters preferred) or equivalent experience.
• 4+ years of experience with developing or using AI models for chemistry and material discovery using popular deep learning frameworks on CPUs and GPUs.
• Proven ability to benchmark and compare domain specific AI Models for Materials discovery.
• Strong written and oral communication skills with the ability to effectively articulate the value proposition to technical and non-technical audiences Ways to stand out from the crowd: Experience with using AI frameworks e.g PyTroch, JAX Background in the development of chemistry/materials simulation software packages, machine learning interatomic potentials (MLIP) design, or generative AI for chemistry/material science.
• Knowledge about NV GPU and CUDA- X libraries.