Senior Deep Learning Software Engineer Cudnn jobs at Nvidia
Advance your career in high tech with Expoint. Discover job opportunities as a Senior Deep Learning Software Engineer Cudnn and join top companies in the industry such as Nvidia. Sign up today and take control of your future.
Company (1)
Job type
Job categories
Job title (1)
United States
State
City
795 jobs found
30.07.2024
N
Nvidia Senior Deep Learning Software Engineer cuDNN United States, Texas
Develop production-quality software that ships as part of NVIDIA's AI software stack, including cutting edge large language model support. Analyze the performance of important workloads, tuning our current software, and...
Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. Design and implement new communication technologies to accelerate AI and HPC workloads. Explore innovative solutions in HW and...
Orchestrate the integration of new hardware functionalities into TensorRT'scompilerand runtime. Work closely with teams and stakeholders across the whole hardware and software stack to understand and leverage new features to...
Develop extensions to popular Deep Learning frameworks, that enable easy experimentation with various parallelization strategies!. Develop compiler optimizations and parallelization heuristics to improve the performance of AI models at extreme...
Course or internship experience related to the following areascould berequired:. Computer Architecture. or Machine Learning. GPU computing andparallel. Performance modeling, profiling,optimizing,and/or. Depending on the internship role, prior experience or knowledge...
Developing and trainingstate-of-the-artDeep Neural Networks for path generation. Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests. Course or internship experience related to the...
Develop highly efficient and low cost AI models and algorithms for computer vision and video AI. Optimize the performance, latency and power consumption of AI models on low power processors...
Develop production-quality software that ships as part of NVIDIA's AI software stack, including cutting edge large language model support. Analyze the performance of important workloads, tuning our current software, and...
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.