Degree in Artificial intelligence- AI
Aartificial intelligence, C Programming, C++, CUDA/GPU programming, Deep Learning, Design, Employee life cycle, Machine learning techniques, Python Programming
We contribute to all steps of the machine learning lifecycle: from conceptualization to applied research, engineering for optimized inference, training and deployment. As a research engineer on the team, you will interact with both internal teams, and key strategic partners to surface, define and help implement the inference strategy of our products.
What you will be doing:
What we need to see:
Ways to stand out from a crowd:
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.
The base salary range is 180,000 USD - 333,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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