Senior Deep Learning Software Engineer Cudnn jobs at Nvidia
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1,657 jobs found
15.10.2025
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Nvidia Senior Systems Software Engineer - GPU United States, Texas
Design and implement next-generation NVLink features in C/C++. Support the bring up of new NVLink platforms from Pre-Silicon to Production. Perform verification, validation, and testing of NVLink-connected products using various...
Develop and improve all aspects of testing NVIDIA's state of the art GPU/Tegra products. Your duties include characterization, yield enhancement and spec validation. Partner with other engineering groups including ASIC,...
Develop mechanisms to launch and manage large compute jobs to support multi-modal foundation models for robotics. These will include data jobs, training jobs, evaluation jobs, and so forth. Optimize GPU...
Leading: Take a leadership role in defining strategic go-to-market plans that include product launches, campaigns, and events for the CUDA-X libraries across key industries. This includes effective messaging, positioning, and...
B.S. or M.S. degree in Electrical Engineering or equivalent experience. 5+ years of experience in high-speed digital design, proficient with front-end design flow and tools. Deep understanding of Verilog or...
Develop and lead the roadmap for enterprise integrations, including Data Integration, B2B, API, and event-driven ecosystems. Architect scalable, real-time data integrations across a large application landscape using modern Integration designs....
Developingphysical verification methodologies for implementation of graphics processors and SOCs. Participate in developing physical verification flows for new technologies - DRC, LVS, Antenna flows - improving automation and expert workflows....
Design and implement next-generation NVLink features in C/C++. Support the bring up of new NVLink platforms from Pre-Silicon to Production. Perform verification, validation, and testing of NVLink-connected products using various...
NVIDIA’s Cudnn (Convolutional Neural Network) Senior Deep Learning Software Engineer plays a pivotal role in the tech industry by advancing the cutting edge of artificial neural networks and accelerating their massive potential for inference and training.
The Senior Deep Learning Software Engineer will bring experience and technical knowledge to develop core AI applications for NVIDIA’s Cudnn platform. This individual will design deep learning algorithms for challenging applications, such as computer vision, natural language processing, synthetic audio/video, and robotics. They must stay current with the latest advances in the field of Artificial intelligence and be able to develop physical products that enable the successful implementation of deep learning solutions.
The Senior Deep Learning Software Engineer must understand the research, prototyping and development of various deep learning algorithms and be comfortable with low-level development skills in Python, C/C++. In addition, they should be familiar with Cudnn and other Deep Learning frameworks like Pytorch, Tensorflow, etc. The ideal candidate will have a number of real-world applications of Cudnn, such as image recognition, autonomous driving, robotics, and the like.
The Senior Deep Learning Software Engineer at NVIDIA should be highly motivated and an independent thinker. They should have an adaptive ability to learn new AI and ML technologies and have the courage to try new ideas. Their role also includes working with other engineers in the team to develop AI solutions that are reliable, agree to quality standards, and perform efficiently.
At Expoint, this position offers an opportunity to work with a top tech company, and grow your career in this rapidly expanding field. It is an exciting chance to take your career to places and design cutting-edge, real-world applications. You can make a difference and impact how AI transforms the world.