Developer Technology Engineer – AI at NVIDIA

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, C, Python, CUDA, Deep learning, Machine learning, HPC, Data analytics, GPU architecture, Parallel computing, Software design, Performance optimization, Algorithm development, System software

Industry

Computer Hardware Manufacturing

Description

NVIDIA is looking for a passionate, world-class computer scientists and 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! We don't assume you know everything about GPU and CUDA. Especially, if you consider yourself an excellent C++ engineer and really love programming, please do submit your resume! 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 pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Responsibilities

Develop and optimize cutting-edge techniques in deep learning, machine learning, and HPC for NVIDIA's accelerated computing platforms. Collaborate with internal teams and key customers to solve complex engineering challenges and maximize workload performance.