Developer Technology Engineer
NVIDIA
Developer Technology Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA is looking for a passionate, world-class computer scientistsand engineers to work in its Compute Developer Technology (DevTech) team. DevTech is an elite team bridging customer requirements and NVIDIA solutions. Inside this team, you will conquer engineering and applied research challenges originated from real-world use cases together with talented, skilled and warm-hearted teammates. All talents of different backgrounds are welcome!
What you'll be doing:
Research and develop cutting-edge techniques in deep learning, machine learning, HPC (High Performance Computing), graphs and data analytics, and perform in-depth analysis and optimization to ensure the best performance on NVIDIA current- and next-generation accelerated computing platform, including GPU, CPU and DPU.
Work directly with key customers to understand the current and future problems they are solving and optimize their workloads to maximize performance on our platform.
Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to design and develop next-generation architectures, software platforms, and programming models.
What we need to see:
MS or PhD from university in engineering or computer science or related disciplines.
2+ years working experience
Strong knowledge of C/C++, software design, programming techniques, or AI algorithms and system.
Experience with accelerated computing, ideally CUDA C/C++/Python.
Good communication and problem-solving skills.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people on the planet working with us and our engineering teams are expanding fast. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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