Senior Applied Research Scientist at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Life Sciences, PharmaceuticalsIndustries

Requirements

PhD (or equivalent experience) in Computer Science or Computational Biology
4+ years in deep learning, bioinformatics, chemical engineering, structural biology, or related fields
Track record of excellence in engineering and research
Deep understanding of modern AI techniques: deep learning for sequences, diffusion models, LLMs, unsupervised learning
Hands-on practical know-how of how to design, train, and evaluate large neural networks
Excellent software engineering and design instincts in Python, C++, or similar
Outstanding expertise in biochemistry, drug discovery, molecular biology, chemical engineering, or related fields
Strong background in the combination of modern machine learning techniques as applied to drug discovery, genomics, proteomics, or medicinal chemistry

Responsibilities

Designing and training large-scale machine learning models at the intersection of genomics, proteomics, and chemistry
Experimental design for probing the capabilities and limitations of the foundation models that are developed
Mentoring other team members, leading research initiatives, and helping to craft strategic roadmaps
Working closely with hardware and software teams to improve NVIDIA’s platforms for large-scale foundation model applications
Engaging with the broader research community via publications, presentations, and research collaborations

Skills

Deep Learning

Machine Learning

Python

C++

Genomics

Proteomics

Bioinformatics

Drug Discovery

Molecular Biology

Diffusion Models

LLMs

Unsupervised Learning

Neural Networks

Foundation Models

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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