[Remote] Solutions Architect - Deep Learning for Drug Discovery at NVIDIA

Massachusetts, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics
5+ years of work-related experience in software development of deep learning or GPU acceleration methods for scientific applications
3+ years of work-related experience with deep learning software architecture and frameworks or high performance computing applications
Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments
Full-stack scientific computing experience including software development in scientific programming languages, such as Python, C/C++, and/or CUDA
Excellent communication skills particularly in the presentation of highly technical material

Responsibilities

Partner with business/account team to understand customer goals, strategies, and technical needs
Help define and deliver high-value solutions meeting customer needs
Stay up on the state of the art in the production deep learning and machine learning methods
Architect and scale high-performance, distributed, AI deployments on NVIDIA GPU supercomputers
Document knowledge and teach others through training, whitepapers, blogs, and wiki articles
Be an industry leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications
Strategically partner with lighthouse customers and industry-specific solution partners

Skills

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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