Technical Marketing Engineer - NVIDIA ALCHEMI

California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI & Machine Learning, Materials Science, Chemicals, High Performance ComputingIndustries

Requirements

Candidates should possess a Bachelor's degree in Chemistry, Material Science, or a related field, with a Master's or Ph.D. preferred, and at least four years of experience developing or utilizing AI models for chemistry and material discovery using deep learning frameworks on CPUs and GPUs. Strong proficiency in C/C++, CUDA, Fortran, or Python is also required, along with experience in chemistry or material science application development, simulation software packages, machine learning interatomic potentials (MLIP) design, or generative AI for chemistry/material science.

Responsibilities

As a Technical Marketing Engineer, you will work directly with customers and developers to guide them in integrating NVIDIA ALCHEMI into their workflows, profile applications, build benchmarks, develop examples and sample applications for tutorials, collaborate on whitepapers and blog posts, and create demos showcasing product features to effectively articulate the value proposition to technical and non-technical audiences.

Skills

AI models

Deep learning frameworks

GPU computing

Benchmarking

Application profiling

Sample application development

Whitepapers

Demo development

Chemistry

Material Science

C/C++

CUDA

Fortran

Python

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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