Senior Deep Learning Research Engineer, Advanced AI Systems

at Nvidia
📍 Santa Clara, United States
USD 224,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 4 Distributed Systems @ 4 Machine Learning @ 4 Communication @ 7 Networking @ 4 Debugging @ 4 CUDA @ 6 GPU @ 4

Details

NVIDIA is seeking a Senior Research Engineer to join our advanced AI strategy team to inform direction with NVIDIA’s deep learning engineering teams and collaborate with leading AI companies innovating on next-generation AI technologies. You will work at the forefront of Generative AI, contributing to machine learning lifecycle stages from conceptualization to applied research, engineering for optimized inference, training, and deployment.

Responsibilities

  • Work with the latest AI research and industry partners to push boundaries of hardware and software.
  • Collaborate closely with internal teams to identify key gaps and stay updated on the latest AI systems infrastructure, including kernel-level optimizations to data center scale deployments.
  • Prototype quickly, architect, and craft new features.
  • Work with engineering and research teams across NVIDIA to ensure smooth transition of concepts to NVIDIA's software stack.
  • Conceptualize solutions across multiple facets including data center designs, networking, diverse model architectures, the NVIDIA stack, and deployment scenarios.

Requirements

  • Strong understanding of Deep Neural Networks, Large Language Models, Multimodal models, and Scaling techniques.
  • Over 10 years of proven experience in deep learning systems, infrastructure, and NVIDIA GPUs.
  • Excellent programming skills in C/C++, Python, including debugging, performance analysis, and test design.
  • Solid foundation in CPU and/or GPU architecture, with knowledge of high-performance computing and distributed programming.
  • Strong communication and interpersonal skills, able to work in dynamic and distributed teams.
  • Doctoral degree in Computer Science, Computer Engineering, or related fields, or equivalent experience.
  • Ability to envision future possibilities beyond current technologies.

Ways to Stand Out

  • Experience architecting or developing large-scale deep learning distributed systems.
  • Deep knowledge of CPU and GPU architecture.
  • Proficiency in GPU programming (CUDA).

Benefits

  • Competitive salary ranging from 224,000 to 356,500 USD annually.
  • Eligibility for equity and comprehensive benefits package.
  • Commitment to a diverse and inclusive work environment.
  • Continuous application acceptance and opportunities at one of technology's leading employers.