Senior Application Engineer

at Nvidia
πŸ“ United States
USD 144,000-230,000 per year
SENIOR
βœ… Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 4 Machine Learning @ 4 Communication @ 7 GPU @ 4

Details

NVIDIA is seeking a Senior Application Engineer for technical collaboration on materials and chemical discovery using AI. Senior Application Engineers are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and AI models. The ideal candidate 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 a core workload across a broad range of customers, including supercomputing, higher education, manufacturing, semiconductors, and agriculture.

Responsibilities

  • 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, and frameworks used for AI-driven chemical and materials discovery and demonstrate their ability to use NVIDIA ALCHEMI.
  • Build examples and sample applications for tutorials.
  • Collaborate with domain experts on whitepapers and with marketing on blog posts.
  • Be part of a team comprising Product Managers and Strategic Alliance Partners and work directly with customers.

Requirements

  • Degree in Chemistry, Materials Science, or a related field (Ph.D. or Masters preferred) or equivalent experience.
  • 4+ years of experience 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 both technical and non-technical audiences.

Ways to stand out

  • Contributions to open source projects related to machine learning interatomic potentials (MLIPs).
  • Background in the development of chemistry/materials simulation software packages, MLIP design, or generative AI for chemistry/material science.
  • Prior experience in benchmarking AI models.

Compensation & Benefits

  • Base salary range: 144,000 USD - 230,000 USD (determined based on location, experience, and pay of employees in similar positions).
  • You will also be eligible for equity and benefits.

Other information

  • Applications for this job will be accepted at least until September 8, 2025.
  • NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate 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.