- Natural language processing
- Deep learning
We are now looking for a TensorRT Software Development Engineer!
NVIDIA is hiring software engineers for its GPU-accelerated Deep learning team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. Join the team which is building the inferencing software which will be used across our product lines! The ability to work on a fast-paced delivery focused team is required and excellent interpersonal skills are a must.
What you'll be doing:
Design and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance.
Performance analysis, optimization and tuning.
Closely follow academic developments in the field of artificial intelligence and feature update TensorRT.
Provide feedback into the architecture and hardware development.
Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams.
Publish key results in scientific conferences.
What we need to see:
You are pursuing a Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree.
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
Strong interest in artificial intelligence and computer vision, awareness of latest developments in deep learning.
Experience working with deep learning frameworks like Caffe, TensorFlow and PyTorch.
Proactive and able to work without supervision.
Excellent written and oral communication skills in English.
NVIDIA is widely considered to be one of technology’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does the idea of contributing to and pushing the boundaries of state-of-the-art AI and Compute systems excite you? Interested in getting exposure to the entire DL SW stack? Come join us and help build the GPU-accelerated DL platform used worldwide.
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.