Senior Application Engineer

Reposted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
144K-230K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Application Engineer, you will collaborate with developers on AI models for chemistry and material discovery, build tutorials, and engage with marketing efforts.
Summary Generated by Built In

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.

As a Sr. 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.

  • Build examples, sample applications for tutorials

  • Collaborate with domain experts on whitepapers and with marketing on blog posts

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:

  • Contributions to open-source projects related to MLIPs

  • Background in the development of chemistry/materials simulation software packages, machine learning interatomic potentials (MLIP) design, or generative AI for chemistry/material science.

  • Prior experience in benchmarking AI models

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 9, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Ai Models
Deep Learning Frameworks
Gpu
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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