Senior Applications Engineer, AI for Material Science, Chemistry

🕒 September 15

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $168k - $322k / year

⏰ Full Time

🟠 Senior

💻 Application Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Develop new tools and features in NVIDIA ALCHEMI for performant atomistic simulation workflows • Guide customers or developers integrating material science applications with AI surrogates using NVIDIA ALCHEMI • Profile applications and run benchmarks to demonstrate product value • Collaborate with subject matter experts on whitepapers and research • Participate in workshops focused on material science and AI • Work across research, engineering, and product teams to build software tools bridging traditional simulations and AI surrogates

🎯 Requirements

• PhD or equivalent experience in computational physics, computational chemistry, computer science, or related technical fields • 8+ years of experience or demonstrable expertise in developing high performance numerical methods for scientific computing or material science applications • Experience in 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 • Outstanding knowledge of high-performance plane waves primitives response properties, high throughput screening • Experience with high-performance accelerator algorithm implementation, runtime performance optimization, usage of floating point emulation, and mixed precision libraries

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity