Senior Applications Engineer, AI for Material Science and Chemistry

NVIDIA
Santa Clara, New York
Workplace: RemoteFull timeUSD 168,000 - 322,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: phdSkills: ["Independent work","Collaboration","Customer/developer guidance","Benchmarking","Workshop participation"]

Build and evolve NVIDIA ALCHEMI, turning cutting-edge research in material science into software tools that enable high-performance atomistic simulation workflows. Partner across research, engineering, and product teams to develop new features, integrate AI surrogates with traditional simulations, and demonstrate value through benchmarking. Work directly with developers and scientists to guide adoption, and collaborate with subject-matter experts via research and workshop efforts.

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FursaFursa
NVIDIA
NVIDIA
2 hours ago

Senior Applications Engineer, AI for Material Science and Chemistry

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and evolve NVIDIA ALCHEMI, turning cutting-edge research in material science into software tools that enable high-performance atomistic simulation workflows. Partner across research, engineering, and product teams to develop new features, integrate AI surrogates with traditional simulations, and demonstrate value through benchmarking. Work directly with developers and scientists to guide adoption, and collaborate with subject-matter experts via research and workshop efforts.
Location: Santa Clara, New York
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop new tools and features in NVIDIA ALCHEMI to support performant atomistic simulation workflows.
  • •Collaborate with research, engineering, and product teams to bridge traditional simulations and AI surrogates.
  • •Guide customers/developers on integrating material science applications with AI surrogates using ALCHEMI.
  • •Profile applications and run benchmarks to demonstrate product value.
  • •Collaborate with subject matter experts on whitepapers and participate in material science/AI workshops.

Pay and Benefits

Salary: USD 168,000 - 322,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •PhD (or equivalent experience) in computational physics, computational chemistry, computer science, or a related technical field.
  • •8+ years of experience developing high performance numerical methods for scientific computing or material science applications.
  • •Experience running material science simulations on large scale HPC systems.
  • •Ability to work independently and as part of a globally distributed team.
  • •Proficiency in Fortran, C++, CUDA, Python, and common material science tools.
Experience:8+ yearsHPCComputational chemistryScientific computing
Education:PhD / Doctorate
Skills:Independent workCollaborationCustomer/developer guidanceBenchmarkingWorkshop participation
Tech Stack:FortranC++CUDAPythonHPCMixed precisionFloating point emulation

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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