Senior AI Solutions Architect - Materials Science and Chemistry

NVIDIA
Santa Clara, Texas, Washington, Arkansas
Workplace: RemoteFull timeUSD 184,000 - 287,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: mastersSkills: ["Written and oral communication","Collaboration","Teamwork","Adaptability","Fast-paced execution"]

Serve as a trusted technical advisor to Materials Science & Chemistry accounts, partnering with sales, account management, and developer relations to drive ecosystem success. Embed NVIDIA accelerated computing and ALCHEMI into customer workflows spanning atomistic simulation, quantum chemistry, and chemical-process engineering. Help customers GPU-accelerate and scale DFT/MD, apply physics-informed ML and domain-adapted LLMs, analyze architectures for acceleration, and deliver trainings, hackathons, and demos.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior AI Solutions Architect - Materials Science and Chemistry

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Serve as a trusted technical advisor to Materials Science & Chemistry accounts, partnering with sales, account management, and developer relations to drive ecosystem success. Embed NVIDIA accelerated computing and ALCHEMI into customer workflows spanning atomistic simulation, quantum chemistry, and chemical-process engineering. Help customers GPU-accelerate and scale DFT/MD, apply physics-informed ML and domain-adapted LLMs, analyze architectures for acceleration, and deliver trainings, hackathons, and demos.
Location: Santa Clara, Texas, Washington, Arkansas
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with Business Development and Sales within a small Solutions Architecture team to drive ecosystem success across Materials Science & Chemistry accounts.
  • •Work directly with computational chemists, materials scientists, and customer R&D/engineering teams in a customer-facing setting.
  • •Help developers GPU-accelerate and scale materials/chemistry workflows (e.g., DFT, MD, quantum chemistry, ML interatomic potentials, high-throughput screening, generative design) using NVIDIA ALCHEMI and CUDA-X.
  • •Apply physics-informed ML/surrogate modeling and domain-adapted LLMs (e.g., property prediction, inverse design, materials informatics, agentic R&D copilots) to accelerate chemical-process and formulation workflows.
  • •Analyze application architectures for acceleration opportunities and collaborate with engineering/product/research teams while delivering trainings, hackathons, and technical demonstrations.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS/MS/PhD in Materials Science, Chemistry, Chemical Engineering, Computational/Physical Chemistry, Condensed-Matter or Applied Physics, Computational Science, or a related technical field (or equivalent experience).
  • •8+ years in computational materials science/chemistry (atomistic simulation such as DFT/MD/Monte Carlo, quantum chemistry, materials informatics, physics-based process/fluid-dynamics simulation) and/or AI/ML in these domains.
  • •Familiarity with simulation tools and methods (e.g., VASP, Quantum ESPRESSO, GROMACS, LAMMPS, Gaussian, Schrödinger Suite) and/or machine-learning interatomic potentials (e.g., MACE, NequIP/Allegro) plus CFD/reaction-transport for chemical processes.
  • •Experience programming algorithms for compute-intensive workloads using languages like Python and C/C++, and using major AI frameworks (e.g., PyTorch, TensorFlow) for scientific ML.
  • •Experience with accelerated computing platforms and HPC (e.g., Slurm), including containers and modular software design with version control (GitHub).
Experience:8+ yearsComputational materials scienceChemistryScientific MLHPC
Education:Master's in Materials Science, Chemistry, Chemical Engineering, Computational/Physical Chemistry, Condensed-Matter or Applied Physics, Computational Science (or related technical field)
Skills:Written and oral communicationCollaborationTeamworkAdaptabilityFast-paced execution
Tech Stack:NVIDIA ALCHEMICUDA-XNVIDIA PhysicsNeMoPhysics-informed MLGenerative molecular/materials designDensity functional theory (DFT)Molecular dynamics (MD)Quantum chemistryMachine-learning interatomic potentials (MLIP)High-throughput screeningPythonC/C++PyTorchTensorFlowGraph neural networksEquivariant neural networksSurrogate modelingVASPQuantum ESPRESSOGROMACS

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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