Senior Application Engineer

NVIDIA

Ai models for chemistry and material discovery
Deep learning frameworks on cpus and gpus
Benchmarking domain specific ai models
The role involves working directly with developers and researchers to build, fine-tune, or optimize AI models for Chemistry and Material discovery

Job Summary

  • The role involves working directly with developers and researchers to build, fine-tune, or optimize AI models for Chemistry and Material discovery.
  • Candidates will profile, benchmark, and suggest optimization strategies for Agentic AI workflows used in discovering novel materials and formulations.
  • The ideal candidate is an entrepreneurial scientist passionate about bringing the latest Predictive AI or Generative AI techniques to customers.

Matching Summary

The role involves working directly with developers and researchers to build, fine-tune, or optimize AI models for Chemistry and Material discovery.

Skills & Requirements

Must-have

  • AI models for chemistry and material discovery
  • Deep learning frameworks on CPUs and GPUs
  • Benchmarking domain specific AI Models
  • Strong written and oral communication skills

Nice-to-have

  • Entrepreneurial and self-motivated mindset
  • Experience with PyTorch or JAX frameworks
  • Background in ML interatomic potentials design
  • Knowledge of NV GPU and CUDA-X libraries

Key Requirements

  • Ph.D. or Masters in Chemistry, Material Science or related field
  • 4+ years experience developing or using AI models for chemistry
  • Proven ability to benchmark domain specific AI Models

Work Rights

Not specified

Tailored Resume

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