Senior Deep Learning Algorithm Engineer

Published May 18, 2023
Location Santa Clara, United States of America
Category Deep Learning  
Job Type Full-time  


We are now looking for a Senior Deep Learning Algorithms Software Engineer. NVIDIA is seeking software engineers for its Deep Learning Algorithms team to develop and commercialize Artificial Intelligence solutions to diverse real-world problems related to NLP, Computer Vision, Speech, Text, Recommendation Systems etc. Academic and commercial groups around the world are using GPUs to redefine AI and data analytics, and to power data centers. Come and help the team building the software which will be used globally. You will have a unique opportunity to interact with the scientific community to implement and improve the latest AI algorithms.


If you have a good understanding of deep learning and a strong algorithmic background, with exposure to computer architecture and performance, then this role may be a great fit for you! Collaborate and interact with internal partners, users, and members of the open source community to analyze, define and implement highly optimized AI algorithms. The scope of these efforts includes a combination of implementing new algorithms, performance/accuracy tuning and analysis, defining APIs, analyzing functionality coverage, and other general software engineering work. The ability to work in a dynamic, product-centric environment with excellent interpersonal skills are required, to be successful in this role.


What you’ll be doing:

  • Develop algorithms for deep learning, data analytics, machine learning, or scientific computing
  • Construct and curate large problem specific datasets
  • Analyze and improve performance of GPU implementations
  • Collaborate with team members and other partners
  • Publish state-of-the-art results on Github and scientific publications
  • Keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware and software engineers


What we need to see:

  • PhD or Master's Degree or equivalent experience in Computer Science, Computer Engineering, AI, Applied Math, or related field
  • 3+ years of industry experience in Computer Science, Artificial Intelligence, Applied Math, or related field
  • Strong Mathematical fundamentals and algorithms skills or experience
  • Excellent programming, debugging, performance analysis, and test design skills
  • Prior experience with Large Language Models, Multimodal unsupervised learning and Generative AI
  • Experience with Deep Learning Frameworks (e.g. TensorFlow, PyTorch, MXNet)
  • Excellent C/C++ and Python programming skills
  • Ability to work independently and manage individuals’ R&D efforts
  • Good communication and documentation habits


Ways to stand out from the crowd:

  • GPU programming (CUDA or OpenCL)
  • Experience doing performance analysis and tuning
  • Exposure to HW architecture, ideally accelerators, and to numerical software
  • Project management tools (e.g. JIRA, Git, Microsoft Project)


Does the idea of pushing the boundaries of state-of-the-art research and development excite you? Interested in getting exposure to the entire DL SW stack? Then come join us and help build the GPU-accelerated DL platform used worldwide. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!


The base salary range is $176,000 - $270,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits.


NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.