Senior Deep Learning Research Engineer, Advanced AI Systems

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Job summary

A leading company in AI technology is seeking a Senior Deep Learning Research Engineer. This role involves collaborating on product strategies, engaging with cutting-edge research, and ensuring the integration of innovative solutions into their product stack. Candidates should have extensive experience in deep learning systems and a strong understanding of GPU architecture. This position offers a competitive salary and benefits.

Benefits

Equity

Benefits

Qualifications

• 10+ years of experience in Deep Learning systems and infrastructure.
• Solid knowledge of CPU/GPU architecture and high-performance computing.

Responsibilities

• Engage with research and industry partners for innovations.
• Prototype and develop new features across multiple facets.

Skills

Deep Learning

C/C++

Python

Communication

Education

Doctoral degree in Computer Science

Tools

CUDA

Job description

Senior Deep Learning Research Engineer, Advanced AI Systems

Apply locations

US, CA, Santa Clara

Time type

Full time

Posted on

Posted 30+ Days Ago

Job requisition id

JR1995924

Introduction

NVIDIA is seeking a Senior Deep Learning Research Engineer for our Advanced AI Strategy team. The role involves collaborating with internal teams and strategic partners to define and implement product strategies, focusing on the latest AI research and hardware integration.

Responsibilities

1. Engage with cutting-edge research and industry partners to explore hardware and software innovations.
2. Identify key gaps in AI systems infrastructure, from kernel optimizations to large-scale deployments.
3. Prototype and develop new features and solutions across multiple facets including data center design and model architectures.
4. Ensure seamless transition of research concepts into NVIDIA’s product stack.
5. Design solutions considering data center configurations, networking, and deployment scenarios.

Qualifications

1. Deep understanding of Deep Neural Networks, Large Language Models, Multimodal, and Scaling techniques.
2. 10+ years of experience in Deep Learning systems, infrastructure, and NVIDIA GPU expertise.
3. Proficiency in C/C++, Python, with strong software design, debugging, and performance analysis skills.
4. Solid knowledge of CPU/GPU architecture, high-performance computing, and distributed programming.
5. Excellent communication skills and ability to work in dynamic, distributed teams.
6. Doctoral degree in Computer Science, Engineering, or related field, or equivalent experience.
7. Innovative mindset and ability to think beyond current limitations.

Preferred Skills

1. Experience with large-scale distributed deep learning systems.
2. Knowledge of CPU and GPU architecture, CUDA programming.

Additional Information

Competitive salary range: $224,000 - $356,500, based on location and experience. Includes potential equity and benefits.

NVIDIA values diversity and is an equal opportunity employer. We welcome applications continuously.