
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Company: NVIDIA
Core focus: Accelerated computing and AI infrastructure (GPUs, data center and AI systems, edge/robotics, automotive)
Founded: April 1993
Public company / Investor relations: Maintains an active investor relations portal with quarterly results and presentations
High-performance graphics, machine learning/AI acceleration, and full-stack AI infrastructure for enterprise, cloud and edge use cases.
1993
Semiconductors / AI infrastructure
Historical financing and IPO-related information are documented on financial profiles; NVIDIA also deploys strategic investments in startups (examples reported)
$2B
Reported $2B investment to support CoreWeave's AI compute expansion
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? We are now hiring software engineers for our China TSE Deep Learning team, with a strong preference for those who can join as soon as possible. Join our China TSE Deep Learning solution team and help build the cutting-edge, high-performance deep learning solutions driving our success in this exciting and quickly growing field. What You'll Be Doing - Work on research, design and implementation of software features that are beneficial to our customers to meet their performance targets and build unique values - Autonomous driving perception SW stack for improvement and issue fixes; eval/KPI for DNNs and issue triage and analysis. - Develop solutions for computer vision DNN models acceleration optimization and deployment. What We Need To See - Subject to arrangement to different works at any time to take on different tasks and challenges - Self-motivated attitude and motivation to make things success, intent to learn - BS/MS degree in Computer Science/EE or related - Proven fundamentals in c++/python programming and SW design and debug skills - Abundant knowledge of ML/DL techniques for Computer Vision and autonomous driving - Knowledge and experiences for perception stack for Autonomous driving, for example camera/radar/ultrasonic/parking/wait condition perception/multiple sensor fusion/... - Believe that experimenting is the only way to find the truth, not argument - At least 3 years in DNN area - Located in Shanghai or willing to work in Shanghai Ways To Stand Out From The Crowd - DNN development and network acceleration is highly desired - Familiarity with GPU computing/NVIDIA CUDA/NVIDIA TensorRT NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! 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. JR2000963
Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.
52,000+
Startups
65,000+
Open Roles
1,500+
New This Week