Senior Deep Learning Engineer

Redmond, Washington, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Computer Hardware, Software DevelopmentIndustries

Requirements

Candidates should possess a Master’s degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field, and at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch. A strong foundation in deep learning, particularly with generative models and inferencing, is required.

Responsibilities

The Senior Deep Learning Engineer will be responsible for keeping abreast of the latest advancements in generative AI research, prototyping and analyzing emergent techniques in the test-time compute space, identifying opportunities for algorithmic and system optimizations, pioneering the development of innovative optimizations to enable high quality inferencing on NVIDIA GPUs, and collaborating closely with production teams to incorporate advancements into software frameworks.

Skills

Deep Learning

Generative AI

Inference Optimizations

Test-Time Compute

Algorithmic Optimization

System Optimization

NVIDIA GPUs

Low-latency Inference

AI Datacenters

Software Frameworks

Computer Science

Artificial Intelligence

Applied Mathematics

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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