NVIDIA seeks a Senior Application Engineer to join its team of elite developers and scientists focused on advancing materials and chemical discovery through AI. This role involves working closely with Product Managers and Strategic Alliance Partners to support customers across various industries such as supercomputing, manufacturing, and agriculture. Day-to-day responsibilities include collaborating with researchers and developers to fine-tune AI models for chemistry and material discovery, contributing to open-source projects, creating examples and tutorials, and authoring whitepapers and blog posts. Ideal candidates possess a degree in Chemistry or Material Science (Ph.D. preferred) and have extensive experience developing or using AI models for materials discovery with deep learning frameworks on GPUs. Strong communication skills are essential for effectively conveying the value of these technologies to both technical and non-technical audiences.
Skills
Python
TensorFlow
PyTorch
CUDA
Jupyter
Git
GitHub
Docker
CI/CD
NVIDIA_ALCHEMI
Markdown
LaTeX
PostgreSQL
MongoDB
HPC
Supercomputing
Generative_AI
Predictive_AI
OpenMM
ASE
What you'll do
Work directly with developers and researchers on AI model optimization for Chemistry and Material discovery.
Collaborate with open-source publishers to showcase NVIDIA ALCHEMI capabilities in AI-driven Chemical and Materials discovery.
Build examples and tutorials for sample applications related to AI-driven materials research.
Contribute to whitepapers and blog posts with domain experts and marketing teams.
Benchmark and compare domain-specific AI models for Materials discovery using popular deep learning frameworks.
What we're looking for
PhD or Master’s degree in Chemistry, Material Science, or related field preferred
Over 4 years of experience developing or using AI models for chemistry and material discovery
Proven ability to benchmark and compare domain-specific AI models for materials discovery
Strong communication skills for both technical and non-technical audiences
Contributions to open-source projects related to MLIPs or generative AI in chemistry/material science
Experience with popular deep learning frameworks on CPUs and GPUs
Market check
Salary context
This
$148,000–$235,750
range sits above
80%
of similar postings on FindRole.
Peer median band
$117,000–$203,940
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$139,037–$175,500
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.
C
C++
Python
Java
Android OS
Linux kernel
ARM architecture
CPU
GPU
DDR
DSP
BSP
Profiling tools
Analysis tools
Debugging techniques
Performance analysis
Power analysis
Thermal analysis
System performance optimization
Customer-facing experience
Technical presentations
Training sessions
Us, Ca, Santa Clara, US115 days ago
$152,000–$241,500
C++
Python
CUDA
QNX
NVIDIA DRIVE
ISO 26262 FuSa
ISO 21448 SOTIF
ASPICE
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