Degree in Artificial intelligence- AI
Aartificial intelligence, Agile methodologies, AI Robotic systems, C++, Computer Vision (CV), CUDA kernels, Deep Learning, DSPs, Effective communication skills, GPUs, High performance computing- HPC, Leadership Skill, Machine learning techniques, Presentation skills, Project management
We are looking to hire a Software Technical Program Manager to lead cross-functional compiler development for CPUs, Embedded CPUs and Domain Specific Accelerators at NVIDIA. Nvidia builds world class compilers that realize the potential of NVIDIA Networking and Tegra SoC hardware for a growing range of computational workloads, ranging from network processing, computer vision, deep learning, scientific computation, and self-driving cars to video games and virtual reality. We also craft outstanding compilers that realize the potential of NVIDIA's Grace CPU designed for the world's largest AI and HPC workloads: https://www.nvidia.com/en-in/data-center/grace-cpu/. Our compiler organization makes its mark on every CPU, GPU, DPU, Networking Products and SoC products that NVIDIA builds. Would you like to be part of this outstanding organization and lead the effort?
As a key member of our Compiler Development team, you will be directly responsible for delivering the newest and most up to date compilers to our developers and the success of various product releases. As a multi-functional team leader in a matrixed organization, you will be responsible for driving the software development process from the requirements stage, through specification, design, development, validation, and delivery. You will run compiler projects for state of the art CPU and Accelerator technologies, delivering new leading-edge features for compute programs that include industry leading Machine Learning, Deep Learning and Artificial Intelligence projects. The compilers will also be deployed in demanding high performance environment such as large scale data centers, power sensitive embedded platforms and safety critical self-driving automotive environments. Future generations of data centers and supercomputers will rely on these compilers to move tremendous amounts of data across the network, accelerate sophisticated computer vision workloads that power the AI algorithms in smart cities to robotics and self-driving cars.
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NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
NVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.
Beijing, China
12-14 year
Shanghai, China
12-14 year
Shenzhen, Guangdong Province, China
12-14 year