Senior AI Solutions Architect – Materials Science, Chemistry

🔥 0 minutes ago

🏄 California, Texas, +1 more states – Remote

🏄 California – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Support Business Development and Sales teams as part of a Solutions Architecture team • Partner with Industry Business leads, Account Managers, and Developer Relations managers across Materials Science & Chemistry accounts • Advise computational chemists, materials scientists, and customer R&D and engineering teams • Help developers GPU-accelerate and scale materials and chemistry workflows using NVIDIA ALCHEMI and CUDA-X • Apply physics-informed ML and surrogate modeling, including NVIDIA PhysicsNeMo • Accelerate computational fluid dynamics and reaction/transport simulation for chemical-process and formulation workflows • Apply AI/ML and domain-adapted LLMs to materials and chemistry use cases • Analyze application architectures and identify opportunities for acceleration • Collaborate with engineering, product, and research teams • Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms

🎯 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 or chemistry and/or AI/ML applied to these domains • Familiarity with materials/chemistry simulation tools and methods, including VASP, Quantum ESPRESSO, GROMACS, LAMMPS, Gaussian, Schrödinger Suite, DFT, MD, and quantum chemistry • Familiarity with machine-learning interatomic potentials and CFD/reaction-transport for chemical processes • Experience programming in Python and C/C++ • Familiarity with GPU-accelerating compute-intensive workloads • Development experience with PyTorch and/or TensorFlow for scientific ML • Familiarity with accelerated computing platforms, GPU-based distributed systems, and HPC clusters/schedulers such as Slurm • Familiarity with containers, numerical libraries, modular software design, version control, and GitHub • Experience designing, prototyping, and building complex AI/ML-based customer solutions • Solid written and oral communication skills • Ability to work collaboratively, learn, react, and adapt quickly in a fast-paced environment

🏖️ Benefits

• Equity • Comprehensive benefits package • Competitive salary