Senior Application Engineer

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Supercomputing, Higher Education, Manufacturing, Semiconductors, Food & Agriculture, Chemical Discovery, Materials DiscoveryIndustries

Requirements

Candidates must have a degree in Chemistry, Material Science, or a related field (Ph.D. or Masters preferred) or equivalent experience. A minimum of 4 years of experience developing or using AI models for chemistry and material discovery with popular deep learning frameworks on CPUs and GPUs is required. Proven ability to benchmark and compare domain-specific AI models for materials discovery and strong written and oral communication skills are essential. Contributions to open-source projects related to MLIPs, background in chemistry/materials simulation software development, MLIP design, or generative AI for chemistry/material science, and prior experience benchmarking AI models are considered advantageous.

Responsibilities

The Senior Application Engineer will provide technical collaboration on Materials and Chemical Discovery using AI, working with the latest GPU hardware and AI models. Responsibilities include working directly with developers and researchers on AI models for Chemistry and Material discovery, collaborating with open-source application publishers, and demonstrating the use of NVIDIA ALCHEMI. The role involves building examples and sample applications for tutorials, and collaborating with domain experts on whitepapers and marketing on blog posts.

Skills

AI Models

GPU hardware

Predictive AI

Generative AI

Deep learning frameworks

CPUs

benchmarking

AI model optimization

MLIPs

Chemistry

Material Science

NVIDIA ALCHEMI

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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