Senior Strategic Alliance Manager, AI for Chemistry and Material Science - HER

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
46 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $236k
$159k most similar roles pay here $301k

This role pays more than 59% of similar roles. Most pay $177,625–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $212k for comparable roles.

Based on 240 similar postings.

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 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Strategic Alliance Manager, AI for Chemistry and Material Science - HER

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Join NVIDIA as a Senior Technologist specializing in AI for computational chemistry to drive platform adoption at leading universities and research labs. You will identify top researchers, lead strategic partnerships, define engagement strategies with cross-functional teams, and evangelize through events and conferences. Key responsibilities include advising on developer needs, hosting meetups, and creating teaching kits. Ideal candidates hold a PhD in computational chemistry or related fields, have over six years of experience in AI applications for chemistry and materials science, and possess strong communication skills to engage both technical and non-technical audiences. Expertise in CUDA, parallel programming, and open-source contributions is essential, as is knowledge of the research ecosystem and high-impact publications in AI-driven chemical and material discovery.

Skills

CUDA Python C++ TensorFlow PyTorch Jupyter GitHub CI/CD Docker Kubernetes AWS Google Cloud Slack Zoom Conda GitLab Markdown LaTeX PostgreSQL MongoDB

What you'll do

  • Identify top researchers and labs specializing in AI applied to Chemistry and Material Science.
  • Lead strategic relationships with opinion leaders and key researchers in the field.
  • Define NVIDIA’s engagement strategy for developers in university and research settings.
  • Evangelize and directly engage target collaborators on building teaching kits.
  • Host developer and customer evangelism events, including meetups, hackathons, and lectures.

What we're looking for

  • PhD in computational chemistry, materials science, computer science, or related field with 6+ years experience.
  • Expertise in AI applications for chemical and material research, including machine learning interatomic potentials and quantum chemistry workflows.
  • Proven ability to communicate complex technical concepts to both technical and non-technical audiences effectively.
  • Extensive knowledge of the academic and research ecosystem related to AI in chemistry and materials science.
  • High-impact publications in artificial intelligence applications for chemistry, molecular modeling, or materials discovery.
  • Experience with CUDA, parallel programming, and performance-focused software development.

Related searches

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